id
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| title
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| abstract
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SCOPUS_ID:84869842322
|
100K words, machine-readable, pronunciation dictionary for the Romanian language
|
This paper intends to present a newly developed Romanian language pronunciation dictionary called NaviRo. The dictionary contains more than 100k words from the DexOnline dictionary together with their phonetic transcriptions in Speech Assessment Method Phonetic Alphabet (SAMPA), a machine readable alphabet. The development of the pronunciation dictionary and the system architecture are also described in the paper. NaviRo pronunciation dictionary is freely available on the project website in HTK (Hidden Markov Model Toolkit) and Festival Speech Synthesis System dictionary format. There are also available for download the used grapheme and phoneme set and the audio samples for the used phonemes. The use of these resources is completely unrestricted for any research purposes in order to promote Romanian language speech technology research. © 2012 EURASIP.
|
[
"Phonetics",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality"
] |
[
64,
70,
15,
74
] |
http://arxiv.org/abs/1711.07915v1
|
10Sent: A Stable Sentiment Analysis Method Based on the Combination of Off-The-Shelf Approaches
|
Sentiment analysis has become a very important tool for analysis of social media data. There are several methods developed for this research field, many of them working very differently from each other, covering distinct aspects of the problem and disparate strategies. Despite the large number of existent techniques, there is no single one which fits well in all cases or for all data sources. Supervised approaches may be able to adapt to specific situations but they require manually labeled training, which is very cumbersome and expensive to acquire, mainly for a new application. In this context, in here, we propose to combine several very popular and effective state-of-the-practice sentiment analysis methods, by means of an unsupervised bootstrapped strategy for polarity classification. One of our main goals is to reduce the large variability (lack of stability) of the unsupervised methods across different domains (datasets). Our solution was thoroughly tested considering thirteen different datasets in several domains such as opinions, comments, and social media. The experimental results demonstrate that our combined method (aka, 10SENT) improves the effectiveness of the classification task, but more importantly, it solves a key problem in the field. It is consistently among the best methods in many data types, meaning that it can produce the best (or close to best) results in almost all considered contexts, without any additional costs (e.g., manual labeling). Our self-learning approach is also very independent of the base methods, which means that it is highly extensible to incorporate any new additional method that can be envisioned in the future. Finally, we also investigate a transfer learning approach for sentiment analysis as a means to gather additional (unsupervised) information for the proposed approach and we show the potential of this technique to improve our results.
|
[
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] |
[
80,
3,
36,
78,
24,
4
] |
SCOPUS_ID:85118116294
|
10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021
|
The proceedings contain 116 papers. The special focus in this conference is on Natural Language Processing and Chinese Computing. The topics include: Adaptive Transformer for Multilingual Neural Machine Translation; improving Non-autoregressive Machine Translation with Soft-Masking; AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space; autoTrans: Automating Transformer Design via Reinforced Architecture Search; a Word-Level Method for Generating Adversarial Examples Using Whole-Sentence Information; RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer; pre-trained Language Models for Tagalog with Multi-source Data; accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-distillation; employing Sentence Compression to Improve Event Coreference Resolution; chinese Macro Discourse Parsing on Dependency Graph Convolutional Network; BRCEA: Bootstrapping Relation-Aware Cross-Lingual Entity Alignment; employing Multi-granularity Features to Extract Entity Relation in Dialogue; attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning; entity-Aware Relation Representation Learning for Open Relation Extraction; ReMERT: Relational Memory-Based Extraction for Relational Triples; recognition of Nested Entity with Dependency Information; HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction; Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER; diversified Paraphrase Generation with Commonsense Knowledge Graph; explore Coarse-Grained Structures for Syntactically Controllable Paraphrase Generation; predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space; chinese Poetry Generation with Metrical Constraints; CNewSum: A Large-Scale Summarization Dataset with Human-Annotated Adequacy and Deducibility Level; question Generation from Code Snippets and Programming Error Messages; extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network; thinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension.
|
[
"Multilinguality",
"Visual Data in NLP",
"Language Models",
"Paraphrasing",
"Machine Translation",
"Semantic Text Processing",
"Relation Extraction",
"Structured Data in NLP",
"Summarization",
"Knowledge Representation",
"Multimodality",
"Text Generation",
"Knowledge Graph Reasoning",
"Reasoning",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
20,
52,
32,
51,
72,
75,
50,
30,
18,
74,
47,
54,
8,
19,
3
] |
SCOPUS_ID:84957658854
|
10th International Conference on Rewriting Techniques and Applications, RTA-99
|
The proceedings contain 30 papers. The special focus in this conference is on Rewriting Techniques and Applications. The topics include: Solved forms for path ordering constraints; jeopardy; strategic pattern matching; normalization in weakly orthogonal rewriting; strong normalization of proof nets modulo structural congruences; hierarchical graph decompositions defined by grammars and logical formulas; deciding the satisfiability of quantifier free formulae on one-step rewriting; a new result about the decidability of the existential one-step rewriting theory; transforming context-sensitive rewrite systems; context-sensitive AC-rewriting; the calculus of algebraic constructions; on the connections between rewriting and formal language theory; a rewrite system associated with quadratic pisot units; fast rewriting of symmetric polynomials and on implementation of tree synchronized languages.
|
[
"Linguistics & Cognitive NLP",
"Paraphrasing",
"Text Generation",
"Linguistic Theories"
] |
[
48,
32,
47,
57
] |
SCOPUS_ID:85048604374
|
10th International Conference on the Theory and Application of Diagrams, Diagrams 2018
|
The proceedings contain 81 papers. The special focus in this conference is on Theory and Application of Diagrams. The topics include: Can a picture prove a theorem? Using empirical methods to investigate diagrammatic proofs in mathematics; otto neurath’s isotype and C. K. Ogden’s basic english; diagrammatic approaches in computational musicology: Some theoretical and philosophical aspects; fruitful over-determination in knot diagrams; the epistemology of mathematical necessity; the central role of diagrams in algebraic topology; can spontaneous diagram use be promoted in math word problem solving?; cognitive control as an underpinning of relational reasoning from diagrams; preface; diagrams and nonmonotonic logic: What is the cognitive relation?; edge label placement in layered graph drawing; generation of kolam-designs based on contextual array P systems; visual algebraic proofs for unknot detection; a typology of mathematical diagrams; the classificatory function of diagrams: Two examples from mathematics; mathematical pictures; impact and prevalence of diagrammatic supports in mathematics classrooms; what sort of information-processing machinery could ancient geometers have used?; interpreting diagrammatic reasoning – between empiricism and realism; picturing science: Design patterns in graphical abstracts; the beauty of graphs; a framework for analyzing and designing diagrams and graphics; a classification of infographics; diagrammatic maps of the new york subway: An historical perspective; sonifying napoleon’s march by identifying auditory correlates of the graphic-linguistic distinction; towards a typology of diagrams in linguistics; accessible reasoning with diagrams: From cognition to automation; using diagrams to reason about biological mechanisms; a survey and evaluation of diagrams for navya-nyāya; operations on single feature indicator systems.
|
[
"Multilinguality",
"Linguistic Theories",
"Structured Data in NLP",
"Syntactic Text Processing",
"Linguistics & Cognitive NLP",
"Typology",
"Reasoning",
"Numerical Reasoning",
"Multimodality"
] |
[
0,
57,
50,
15,
48,
45,
8,
5,
74
] |
SCOPUS_ID:84942609400
|
10th International Symposium on String Processing and Information Retrieval, SPIRE 2003
|
The proceedings contain 29 papers. The special focus in this conference is on Web Algorithms, Bit-Parallel Algorithms, Compression and Music Retrieval. The topics include: Link information as a similarity measure in web classification; a three level search engine index based in query log distribution; alternative algorithms for bit-parallel string matching; bit-parallel approximate string matching algorithms with transposition; processing of Huffman compressed texts with a super-alphabet; an optimized compression code for natural language text databases; linear-time off-line text compression by longest-first substitution; structural contexts model for improving compression in semistructured text databases; ranking structured documents using utility theory in the Bayesian network retrieval model; an empirical comparison of text categorization methods; improving text retrieval in medical collections through automatic categorization; flexible and efficient bit-parallel techniques for transposition invariant approximate matching in music retrieval; analysis and evaluation of a Turkish stemming algorithm; non-adjacent digrams improve matching of cross-lingual spelling variants; the implementation and evaluation of a lexicon-based stemmer; new refinement techniques for longest common subsequence algorithms; distributed query processing using suffix arrays; bit filtration technique for approximate string join in biological databases; using wordnet for word sense disambiguation to support concept map construction; memory-adaptative dynamic spatial approximation trees and large edit distance with multiple block operations.
|
[
"Multilinguality",
"Information Extraction & Text Mining",
"Text Classification",
"Speech & Audio in NLP",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multimodality"
] |
[
0,
3,
36,
70,
19,
24,
74
] |
SCOPUS_ID:85064558578
|
11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019
|
The proceedings contain 124 papers. The special focus in this conference is on Intelligent Information and Database Systems. The topics include: Word Mover’s Distance for Agglomerative Short Text Clustering; improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path; an Adversarial Learning and Canonical Correlation Analysis Based Cross-Modal Retrieval Model; event Prediction Based on Causality Reasoning; a Method for Detecting and Analyzing the Sentiment of Tweets Containing Conditional Sentences; aggregating Web Search Results; cross-Lingual Korean Speech-to-Text Summarization; on Some Approach to Evaluation in Personalized Document Retrieval Systems; a Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification; a Formal Framework for the Ontology Evolution; multidimensional Permutation Entropy for Constrained Motif Discovery; A LSTM Approach for Sales Forecasting of Goods with Short-Term Demands in E-Commerce; detection of Rare Elements in Investigation of Medical Problems; Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study; an Approach to Estimation of Residential Housing Type Based on the Analysis of Parked Cars; household Electric Load Pattern Consumption Enhanced Simulation by Random Behavior; anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches; Developing a General Video Game AI Controller Based on an Evolutionary Approach; separable Data Aggregation by Layers of Binary Classifiers; adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors; logical Problem Solving Framework; Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals; selected Problems of Controllability of Semilinear Fractional Systems-A Survey.
|
[
"Multilinguality",
"Text Clustering",
"Reasoning",
"Cross-Lingual Transfer",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
0,
29,
8,
19,
24,
3
] |
SCOPUS_ID:85140469044
|
11th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2022
|
The proceedings contain 97 papers. The special focus in this conference is on Natural Language Processing and Chinese Computing. The topics include: Kformer: Knowledge Injection in Transformer Feed-Forward Layers; doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Tickets; BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information; DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction; temporal Relation Extraction on Time Anchoring and Negative Denoising; label Semantic Extension for Chinese Event Extraction; QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph Embeddings; entity Difference Modeling Based Entity Linking for Question Answering over Knowledge Graphs; BG-EFRL: Chinese Named Entity Recognition Method and Application Based on Enhanced Feature Representation; PGBERT: Phonology and Glyph Enhanced Pre-training for Chinese Spelling Correction; TEMPLATE: TempRel Classification Model Trained with Embedded Temporal Relation Knowledge; dual Interactive Attention Network for Joint Entity and Relation Extraction; adversarial Transfer Learning for Named Entity Recognition Based on Multi-Head Attention Mechanism and Feature Fusion; rethinking the Value of Gazetteer in Chinese Named Entity Recognition; Adversarial Transfer for Classical Chinese NER with Translation Word Segmentation; argumentPrompt: Activating Multi-category of Information for Event Argument Extraction with Automatically Generated Prompts; topic-Features for Dialogue Summarization; adversarial Fine-Grained Fact Graph for Factuality-Oriented Abstractive Summarization; retrieval, Selection and Writing: A Three-Stage Knowledge Grounded Storytelling Model; an Adversarial Approach for Unsupervised Syntax-Guided Paraphrase Generation; MCER: A Multi-domain Dataset for Sentence-Level Chinese Ellipsis Resolution; online Self-boost Learning for Chinese Grammatical Error Correction; coarse-to-Fine Retriever for Better Open-Domain Question Answering; LoCSGN: Logic-Contrast Semantic Graph Network for Machine Reading Comprehension; modeling Temporal-Sensitive Information for Complex Question Answering over Knowledge Graphs; knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering; MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation.
|
[
"Language Models",
"Low-Resource NLP",
"Question Answering",
"Named Entity Recognition",
"Information Extraction & Text Mining",
"Text Error Correction",
"Syntactic Text Processing",
"Text Generation",
"Responsible & Trustworthy NLP",
"Structured Data in NLP",
"Event Extraction",
"Summarization",
"Information Retrieval",
"Semantic Text Processing",
"Relation Extraction",
"Robustness in NLP",
"Knowledge Representation",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Multimodality"
] |
[
52,
80,
27,
34,
3,
26,
15,
47,
4,
50,
31,
30,
24,
72,
75,
58,
18,
11,
38,
74
] |
SCOPUS_ID:85144935987
|
11th International Conference on Model and Data Engineering, MEDI 2022
|
The proceedings contain 18 papers. The special focus in this conference is on Model and Data Engineering. The topics include: Efficient Checking of Timed Ordered Anti-patterns over Graph-Encoded Event Logs; trans-Compiler-Based Database Code Conversion Model for Native Platforms and Languages; MDMSD4IoT a Model Driven Microservice Development for IoT Systems; parallel Skyline Query Processing of Massive Incomplete Activity-Trajectories Data; compact Data Structures for efficient Processing of Distance-Based Join Queries; towards a Complete Direct Mapping from Relational Databases to Property Graphs; a Matching Approach to Confer Semantics over Tabular Data Based on Knowledge Graphs; τ JUpdate: A Temporal Update Language for JSON Data; rice Plant Disease Detection and Diagnosis Using Deep Convolutional Neural Networks and Multispectral Imaging; a Novel Diagnostic Model for Early Detection of Alzheimer’s Disease Based on Clinical and Neuroimaging Features; benchmarking Concept Drift Detectors for Online Machine Learning; computational Microarray Gene Selection Model Using Metaheuristic Optimization Algorithm for Imbalanced Microarrays Based on Bagging and Boosting Techniques; fuzzing-Based Grammar Inference; in the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach; emotion Recognition System for Arabic Speech: Case Study Egyptian Accent; towards the Strengthening of Capella Modeling Semantics by Integrating Event-B: A Rigorous Model-Based Approach for Safety-Critical Systems.
|
[
"Text Error Correction",
"Green & Sustainable NLP",
"Structured Data in NLP",
"Syntactic Text Processing",
"Responsible & Trustworthy NLP",
"Multimodality"
] |
[
26,
68,
50,
15,
4,
74
] |
SCOPUS_ID:84934295047
|
11th International Conference on String Processing and Information Retrieval, SPIRE 2004
|
The proceedings contain 44 papers. The special focus in this conference is on String processing and information retrieval. The topics include: Efficient one dimensional real scaled matching; linear time algorithm for the longest common repeat problem; automaton-based sublinear keyword pattern matching; techniques for efficient query expansion; inferring query performance using pre-retrieval predictors; a scalable system for identifying co-derivative documents; searching for a set of correlated patterns; linear nondeterministic dawg string matching algorithm; permuted and scaled string matching; bit-parallel branch and bound algorithm for transposition invariant LCS; a new feature normalization scheme based on eigenspace for noisy speech recognition; fast detection of common sequence structure patterns in RNAs; an efficient algorithm for the longest tandem scattered subsequence problem; automatic document categorization based on k-nn and object-based thesauri; indexing text documents based on topic identification; cross-comparison for two-dimensional text categorization; overlapping clustering of words for document classification; evaluation of web page representations by content through clustering; evaluating relevance feedback and display strategies for searching on small displays; information extraction by embedding HMM to the set of induced linguistic features; finding cross-lingual spelling variants; an efficient index data structure with the capabilities of suffix trees and suffix arrays for alphabets of non-negligible size; an alphabet-friendly fm-index; concurrency control and I/O-Optimality in bulk insertion; processing conjunctive and phrase queries with the set-based model and metric indexing for the vector model in text retrieval.
|
[
"Multilinguality",
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Clustering",
"Responsible & Trustworthy NLP",
"Indexing",
"Cross-Lingual Transfer",
"Text Classification",
"Green & Sustainable NLP"
] |
[
0,
3,
24,
29,
4,
69,
19,
36,
68
] |
SCOPUS_ID:85036506769
|
11th Symposium on Mathematical Foundations of Computer Science, MFCS 1984
|
The proceedings contain 57 papers. The special focus in this conference is on Mathematical Foundations of Computer Science. The topics include: A note on unique decipherability; outline of an algebraic language theory; thue systems and the church-Rosser property; limits, higher type computability and type-free languages; traces, histories, graphs: Instances of a process monoid; recent results on automata and infinite words; VLSI algorithms and architectures; decidability of monadic theories; on the Ehrenfeucht conjecture on test sets and its dual version; sparse oracles, lowness, and highness; computability of probabilistic parameters for some classes of formal languages; a truely morphic characterization of recursively enumerable sets; on the Herbrand Kleene universe for nondeterministic computations; an investigation of controls for concurrent systems by abstract control languages; on generalized words of Thue-Morse; nondeterminism is essential for two-way counter machines; Weak and strong fairness in CCS; on the complexity of inductive inference; monotone edge sequences in line arrangements and applications; many-sorted temporal logic for multi-processes systems; process logics: Two decidability results; on searching of special classes of mazes and finite embedded graphs; the power of the future perfect in program logics; hierarchy of reversal and zerotesting bounded multicounter machines; on the power of alternation in finite automata; the equivalence problem and correctness formulas for a simple class of programs; lower bounds for polygon simplicity testing and other problems; a uniform independence of invariant sentences; on the equivalence of compositions of morphisms and inverse morphisms on regular languages; nondeterministic logspace reductions; factoring multivariate polynomials over algebraic number fields.
|
[
"Programming Languages in NLP",
"Linguistic Theories",
"Structured Data in NLP",
"Linguistics & Cognitive NLP",
"Reasoning",
"Numerical Reasoning",
"Multimodality"
] |
[
55,
57,
50,
48,
8,
5,
74
] |
SCOPUS_ID:85014326830
|
12 years on - Is the NLM medical text indexer still useful and relevant?
|
Background: Facing a growing workload and dwindling resources, the US National Library of Medicine (NLM) created the Indexing Initiative project in 1996. This cross-library team's mission is to explore indexing methodologies for ensuring quality and currency of NLM document collections. The NLM Medical Text Indexer (MTI) is the main product of this project and has been providing automated indexing recommendations since 2002. After all of this time, the questions arise whether MTI is still useful and relevant. Methods: To answer the question about MTI usefulness, we track a wide variety of statistics related to how frequently MEDLINE indexers refer to MTI recommendations, how well MTI performs against human indexing, and how often MTI is used. To answer the question of MTI relevancy compared to other available tools, we have participated in the 2013 and 2014 BioASQ Challenges. The BioASQ Challenges have provided us with an unbiased comparison between the MTI system and other systems performing the same task. Results: Indexers have continually increased their use of MTI recommendations over the years from 15.75% of the articles they index in 2002 to 62.44% in 2014 showing that the indexers find MTI to be increasingly useful. The MTI performance statistics show significant improvement in Precision (+0.2992) and F1 (+0.1997) with modest gains in Recall (+0.0454) over the years. MTI consistency is comparable to the available indexer consistency studies. MTI performed well in both of the BioASQ Challenges ranking within the top tier teams. Conclusions: Based on our findings, yes, MTI is still relevant and useful, and needs to be improved and expanded. The BioASQ Challenge results have shown that we need to incorporate more machine learning into MTI while still retaining the indexing rules that have earned MTI the indexers' trust over the years. We also need to expand MTI through the use of full text, when and where it is available, to provide coverage of indexing terms that are typically only found in the full text. The role of MTI at NLM is also expanding into new areas, further reinforcing the idea that MTI is increasingly useful and relevant.
|
[
"Indexing",
"Information Retrieval"
] |
[
69,
24
] |
http://arxiv.org/abs/1912.02315v2
|
12-in-1: Multi-Task Vision and Language Representation Learning
|
Much of vision-and-language research focuses on a small but diverse set of independent tasks and supporting datasets often studied in isolation; however, the visually-grounded language understanding skills required for success at these tasks overlap significantly. In this work, we investigate these relationships between vision-and-language tasks by developing a large-scale, multi-task training regime. Our approach culminates in a single model on 12 datasets from four broad categories of task including visual question answering, caption-based image retrieval, grounding referring expressions, and multi-modal verification. Compared to independently trained single-task models, this represents a reduction from approximately 3 billion parameters to 270 million while simultaneously improving performance by 2.05 points on average across tasks. We use our multi-task framework to perform in-depth analysis of the effect of joint training diverse tasks. Further, we show that finetuning task-specific models from our single multi-task model can lead to further improvements, achieving performance at or above the state-of-the-art.
|
[
"Visual Data in NLP",
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Representation Learning",
"Responsible & Trustworthy NLP",
"Multimodality"
] |
[
20,
52,
80,
72,
12,
4,
74
] |
SCOPUS_ID:84876706264
|
12th Australasian Document Computing Symposium, ACDS 2007
|
This proceedings contains 21 papers. The two keynote talks, ten papers and nine posters published reflect the breadth of interest of the Australian research community in the area of document computing. It is also a highlight of ADCS that we are not only collocated with The Australasian Language Technology Workshop 2007, but are sharing a paper session, keynote talk, and social functions with the Australian natural language research community. The key terms of this proceedings include automatic thread classification, content selection evaluation, data mining process, document composition, document passages, entity ranking, extraction approach, hybrid bitvector index compression, information filtering, information retrieval, IR evaluation, Linux user forum information, meta-search engine, querying image ontology, rank-biased precision, retrieval systems, robust evaluation, score standardization, search tasks, source code authorship, user persistence, web spam, Wikipedia categories, XML elements.
|
[
"Passage Retrieval",
"Information Retrieval"
] |
[
66,
24
] |
SCOPUS_ID:84937510006
|
12th European Semantic Web Conference, ESWC 2015
|
The proceedings contain 54 papers. The special focus in this conference is on Advances in Semantic Web Research and Technologies. The topics include: Requirements for and evaluation of user support for large-scale ontology alignment; a benchmark for automatic mapping generation in relational-to-ontology data integration; a web application for collaborative development of multilingual thesauri; leveraging and balancing heterogeneous sources of evidence in ontology learning; a context-based semantics for SPARQL property paths over the web; distributed and scalable OWL EL reasoning; large scale rule-based reasoning using a laptop; a comparison of data structures to manage URIs on the web of data; knowledge enabled approach to predict the location of twitter users; a compact in-memory dictionary for RDF data; quality assessment of linked datasets using probabilistic approximation; cooperative techniques for sparql query relaxation in RDF databases; a scalable solution for RDF compression with HDT and mapreduce; processing aggregate queries in a federation of SPARQL endpoints; a survey of HTTP caching implementations on the open semantic web; query execution optimization for clients of triple pattern fragments; learning a cross-lingual semantic representation of relations expressed in text; automating RDF dataset transformation and enrichment; semi-supervised instance matching using boosted classifiers; inductive classification through evidence-based models and their ensembles; standardized and efficient RDF encoding for constrained embedded networks; efficient composition of semantic services in unstructured P2P networks and troubleshooting and optimizing named entity resolution systems in the industry.
|
[
"Multilinguality",
"Semantic Text Processing",
"Knowledge Representation",
"Responsible & Trustworthy NLP",
"Reasoning",
"Cross-Lingual Transfer",
"Green & Sustainable NLP"
] |
[
0,
72,
18,
4,
8,
19,
68
] |
SCOPUS_ID:85070695778
|
12th International Conference on Artificial General Intelligence, AGI 2019
|
The proceedings contain 21 papers. The special focus in this conference is on Artificial General Intelligence. The topics include: Arbitrarily applicable relational responding; programmatic link grammar induction for unsupervised language learning; Mental actions and modelling of reasoning in semiotic approach to AGI; embodiment as a necessary a priori of general intelligence; computable prediction; cognitive module networks for grounded reasoning; Generalized diagnostics with the non-axiomatic reasoning system (NARS); cognitive model of brain-machine integration; exploration strategies for homeostatic agents; lifelong learning starting from zero; Augmented utilitarianism for AGI safety; cumulative learning; learning with per-sample side information; orthogonality-based disentanglement of responsibilities for ethical intelligent systems; extending micropsi’s model of motivation and emotion for conversational agents; William: A monolithic approach to AGI; an inferential approach to mining surprising patterns in hypergraphs; Toward mapping the paths to AGI; adaptive neuro-symbolic network agent.
|
[
"Text Error Correction",
"Reasoning",
"Syntactic Text Processing"
] |
[
26,
8,
15
] |
SCOPUS_ID:85119622690
|
12th International Conference on Computational Semantics, IWCS 2017 - Long Papers
|
The proceedings contain 17 papers. The topics discussed include: a type-theoretical system for the fracas test suite: grammatical framework meets coq; extracting word lists for domain-specific implicit opinions from corpora; is structure necessary for modeling argument expectations in distributional semantics?; semantic variation in online communities of practice; defeasible AceRules: a prototype; semantic composition via probabilistic model theory; towards an inferential lexicon of event selecting predicates for French; learning to compose spatial relations with grounded neural language models; if sentences could see: investigating visual information for semantic textual similarity; and coarse semantic classification of rare nouns using cross-lingual data and recurrent neural networks.
|
[
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
19,
0
] |
SCOPUS_ID:85077123904
|
12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019
|
The proceedings contain 36 papers. The special focus in this conference is on Knowledge Science, Engineering and Management. The topics include: Text-Based Fusion Neural Network for Rumor Detection; text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination; word Embeddings for Unsupervised Named Entity Linking; effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint; a New Method for Complex Triplet Extraction of Biomedical Texts; assessing Semantic Similarity Between Concepts Using Wikipedia Based on Nonlinear Fitting; A Two-Stage Model Based on BERT for Short Fake News Detection; research on Resultative/Directional Structures Based on the Corpus of International Chinese Textbooks; an Automatic Spelling Correction Method for Classical Mongolian; TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM; unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism; practical Scheme for Secure Outsourcing of Coppersmith’s Algorithm; a Novel Genetic Algorithm Approach to Improving Error Correction Output Coding; A New Monarch Butterfly Optimization Algorithm with SA Strategy; reasoning of Causal Direction in Linear Model Based on Spearman’s Rank Correlation Coefficient; urban Traffic Flow Prediction Using a Gradient-Boosted Method Considering Dynamic Spatio-Temporal Correlations; a Trust Network Model Based on Hesitant Fuzzy Linguistic Term Sets; an Improved Discretization-Based Feature Selection via Particle Swarm Optimization; feature-Aware Attentive Convolutional Neural Network for Sequence Processing; exploiting Tri-types of Information for Attributed Network Embedding; application of Probabilistic Process Model for Smart Factory Systems; answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation; syntax-Aware Sentence Matching with Graph Convolutional Networks; efficient Network Representations Learning: An Edge-Centric Perspective.
|
[
"Multilinguality",
"Low-Resource NLP",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Representation Learning",
"Cross-Lingual Transfer",
"Responsible & Trustworthy NLP"
] |
[
0,
80,
72,
68,
12,
19,
4
] |
SCOPUS_ID:85062647711
|
12th International Conference on Metadata and Semantics Research, MTSR 2018
|
The proceedings contain 35 papers. The special focus in this conference is on Metadata and Semantics Research. The topics include: Linked Data Live Exploration with Complete Results; the Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering; analysing and Visualising Open Data Within the Data and Analytics Framework; formalizing Enrichment Mechanisms for Bibliographic Ontologies in the Semantic Web; GLOBDEF: A Framework for Dynamic Pipelines of Semantic Data Enrichment Tools; ontologies for Data Science: On Its Application to Data Pipelines; relating Legal Entities via Open Information Extraction; ontology-Based Information Retrieval: Development of a Semantic-Based Tool for the Media Industry; evaluating Data Quality in Europeana: Metrics for Multilinguality; Document Based RDF Storage Method for Efficient Parallel Query Processing; the Benefits of Linking Metadata for Internal and External Users of an Audiovisual Archive; authify: The Reconciliation of Entities at Scale; Assessing the Preservation of Derivative Relationships in Mappings from FRBR to BIBFRAME; metadata Standards for Palm Leaf Manuscripts in Asia; Knowledge Artifacts for the Health: The PERCIVAL Project; artfacts - A Platform for Making Sense of and Telling Stories with Cultural Objects; a Semantic-Based Metadata Schema to Handle System and Software Configuration; Connecting and Mapping LOD and CMDI Through Knowledge Organization; Creating CMDI-Profiles for Textbook Resources; towards a Knowledge Graph Based Platform for Public Procurement; legal Entity Identifier Blockchained by a Hyperledger Indy Implementation of GraphChain; metadata for Large-Scale Research Instruments; identification and Exchange of Regulated Information on Chemicals: From Metadata to Core Vocabulary; open Citation Content Data.
|
[
"Open Information Extraction",
"Information Extraction & Text Mining"
] |
[
25,
3
] |
SCOPUS_ID:84928975510
|
12th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2014
|
The proceedings contain 23 papers. The special focus in this conference is on Practical applications of agents and multi-agent systems. The topics include: Normal distributions and multi-issue negotiation for service composition; strategic bidding for electricity markets negotiation using support vector machines; a mobile robot agent for gas leak source detection; integration of different ERP systems on mobile devices; prediction system of pollen allergies in mobile devices; a web-based agent-oriented approach to address heterogeneity in cooperative embedded systems; multi-agent system for occupational therapy; a gaussian particle swarm optimization for training a feed forward neural network; cluster analysis of patients suffering from addictions; womb grammars as a bio-inspired model for grammar induction; a multiagent approach using model-based predictive control for an irrigation canal; human-aware planning; autonomous agents in dynamic environment; indoor location system for security guards in subway stations; mobile-based recommendation system in conferences; a multi-agent system for infrared and color video fusion; the impact of recommendation agents’ type of voice on perceived social presence, trust and users intentions on an insurance website; webifying the computerized execution of clinical practice guidelines; the new competencies development level expertise method within intelligent automated educational systems; cooperative robots used for the learning process in the cooperative work and a team formation tool for educational environments.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:85025628939
|
12th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2012, held in conjunction with 12th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2012
|
The proceedings contain 32 papers. The special focus in this conference is on Knowledge Management and Acquisition for Intelligent Systems. The topics include: Constraints dependent t-way test suite generation using harmony search strategy; evaluating disaster management knowledge model by using a frequency-based selection technique; automatic acquisition of user models of interaction to evaluate the usability of virtual environments; user-centric recommendation-based approximate information retrieval from marine sensor data; addressing challenges for knowledge discovery from data in the domain of seaport integration; data envelopment analysis for evaluating knowledge acquisition and creation; a high-order hidden Markov model for emotion detection from textual data; knowledge acquisition for categorization of legal case reports; extraction of how-to type question-answering sentences using query sets; image indexing and retrieval with pachinko allocation model; detection of CAN by ensemble classifiers based on ripple down rules; improving open information extraction for informal web documents with ripple-down rules; ripple-down rules with censored production rules; RM and RDM, a preliminary evaluation of two prudent RDR techniques; emergence of personal knowledge management processes within multi-agent roles; towards an ontology-based approach to knowledge management of graduate attributes in higher education; externalizing senses of worth in medical service based on ontological engineering; crowd-sourced knowledge bases; identifying important factors for future contribution of Wikipedia editors and workflow knowledge sharing through social networks.
|
[
"Open Information Extraction",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
25,
24,
3
] |
SCOPUS_ID:85088501257
|
13th International Conference on Artificial General Intelligence, AGI 2020
|
The proceedings contain 38 papers. The special focus in this conference is on Artificial General Intelligence. The topics include: The hierarchical memory based on compartmental spiking neuron model; the dynamics of growing symbols: a ludics approach to language design by autonomous agents; approach for development of engineering tools based on knowledge graphs and context separation; towards dynamic process composition in the dso cognitive architecture; sage: task-environment platform for evaluating a broad range of ai learners; post-turing methodology: breaking the wall on the way to artificial general intelligence; preface; AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction requires collaboration; self-explaining ai as an alternative to interpretable ai; agi needs the humanities; report on “ai and human thought and emotion”; cognitive machinery and behaviours; combinatorial decision dags: a natural computational model for general intelligence; what kind of programming language best suits integrative agi?; guiding symbolic natural language grammar induction via transformer-based sequence probabilities; embedding vector differences can be aligned with uncertain intensional logic differences; delta schema network in model-based reinforcement learning; information digital twin—enabling agents to anticipate changes in their tasks; error-correction for ai safety; ‘opennars for applications’: architecture and control; towards agi agent safety by iteratively improving the utility function; learning to model another agent’s beliefs: a preliminary approach; an attentional control mechanism for reasoning and learning; hyperdimensional representations in semiotic approach to agi; the conditions of artificial general intelligence: logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness; how do you test the strength of ai?; artificial creativity augmentation.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:84974530692
|
13th International Conference on Inductive Logic Programming, ILP 2003
|
The proceedings contain 25 papers. The special focus in this conference is on Inductive Logic Programming. The topics include: A personal view of how best to apply ILP; agents that reason and learn; mining model trees; complexity parameters for first-order classes; a multi-relational decision tree learning algorithm; applying theory revision to the design of distributed databases; disjunctive learning with a soft-clustering method; ILP for mathematical discovery; an exhaustive matching procedure for the improvement of learning efficiency; efficient data structures for inductive logic programming; graph kernels and gaussian processes for relational reinforcement learning; on condensation of a clause; a comparative evaluation of feature set evolution strategies for multi-relational boosting; comparative evaluation of approaches to propositionalization; improved distances for structured data; induction of enzyme classes from biological databases; estimating maximum likelihood parameters for stochastic context-free graph grammars; induction of the effects of actions by monotonic methods; hybrid abductive inductive learning; query optimization in inductive logic programming by reordering literals; efficient learning of unlabeled term trees with contractible variables from positive data; relational IBL in music with a new structural similarity measure and an effective grammar-based compression algorithm for tree structured data.
|
[
"Text Error Correction",
"Programming Languages in NLP",
"Structured Data in NLP",
"Syntactic Text Processing",
"Multimodality",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] |
[
26,
55,
50,
15,
74,
4,
68
] |
SCOPUS_ID:84937431085
|
13th International Work-Conference on Artificial Neural Networks, IWANN 2015
|
The proceedings contain 57 papers. The special focus in this conference is on Computing Languages with Bio-Inspired Devices, Brain-Computer Interfaces, Multi-Robot Systems, Video and Image Processing. The topics include: Grammatical inference model for measuring language complexity; a proposal for contextual grammatical inference; training in realistic virtual environments; real-time monitoring of biomedical signals to improve road safety; authentication of brain-computer interface users in network applications; a first step toward a possibilistic swarm multi-robot task allocation; a bottom-up robot architecture based on learnt behaviors driven design; from human eye fixation to human-like autonomous artificial vision; a mini robot for scientific applications; visualization of complex datasets with the self-organizing spanning tree; a detection system for vertical slot fishways using laser technology and computer vision techniques; interactive relevance visual learning for image retrieval; scene classification based on local binary pattern and improved bag of visual words; a novel framework for hyperemia grading based on artificial neural networks; finding the texture features characterizing the most homogeneous texture segment in the image; bio-inspired motion estimation with event-driven sensors; domain generalization based on transfer component analysis; deep transfer learning ensemble for classification; transfer learning for the recognition of immunogold particles in TEM imaging; improved retrieval for challenging scenarios in clique-based neural networks; deep neural networks for wind energy prediction and convolutional neural networks for detecting and mapping crowds in first person vision applications.
|
[
"Visual Data in NLP",
"Text Error Correction",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Syntactic Text Processing",
"Text Classification",
"Multimodality"
] |
[
20,
26,
52,
72,
24,
3,
15,
36,
74
] |
SCOPUS_ID:84949920963
|
140 characters to victory?: Using Twitter to predict the UK 2015 General Election
|
This paper uses Twitter data to forecast the outcome of the 2015 UK General Election. While a number of empirical studies to date have demonstrated striking levels of accuracy in estimating election results using this new data source, there have been no genuine i.e. pre-election forecasts issued to date. Furthermore there have been widely varying methods and models employed with seemingly little agreement on the core criteria required for an accurate estimate. We attempt to address this deficit with our 'baseline' model of prediction that incorporates sentiment analysis and prior party support to generate a true forecast of parliament seat allocation. Our results indicate a hung parliament with Labour holding the majority of seats.
|
[
"Sentiment Analysis"
] |
[
78
] |
SCOPUS_ID:84942936893
|
14th European Conference on Machine Learning, ECML 2003
|
The proceedings contain 44 papers. The special focus in this conference is on Machine Learning. The topics include: Next generation data mining tools; power laws and self-similarity for graphs, streams and traditional data; propensity score methodology applied to estimate the effects of marketing interventions; support vector machines with example dependent costs; a risk-sensitive approach to self-play learning in abalone; life cycle modeling of news events using aging theory; unambiguous automata inference by means of state-merging methods; combined optimization of feature selection and algorithm parameters in machine learning of language; iteratively extending time horizon reinforcement learning; volume under the roc surface for multi-class problems; improving the AUC of probabilistic estimation trees; pairwise preference learning and ranking; a new way to introduce knowledge into reinforcement learning; improvement of the state merging rule on noisy data in probabilistic grammatical inference; rademacher penalization over decision tree prunings; optimising performance of competing search engines in heterogeneous web environments; evaluation of topographic clustering and its kernelization; a new pairwise ensemble approach for text classification; self-evaluated learning agent in multiple state games; classification approach towards ranking and sorting problems; using MDP characteristics to guide exploration in reinforcement learning; experiments with cost-sensitive feature evaluation; a Markov network based factorized distribution algorithm for optimization; error reduction and convergence speed-up; improving numerical prediction with qualitative constraints and optimizing local probability models for statistical parsing.
|
[
"Text Error Correction",
"Text Classification",
"Syntactic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
26,
36,
15,
24,
3
] |
SCOPUS_ID:85034778946
|
14th International Colloquium on Automata, Languages, and Programming, ALP 1987
|
The proceedings contain 49 papers. The special focus in this conference is on Automata, Languages, and Programming. The topics include: Verifying a protocol using relativized bisimulation; on recent trends in formal language theory; non-uniform automata over groups; minimal automaton of a rational cover; a star-height problem in free monoids with partial commutations; single-valued finite transduction; the kleene and the Parikh Theorem in complete semirings; an algorithm for computing asynchronous automata in the case of acyclic non-commutation graphs; on the languages accepted by finite reversible automata; logic programming with ions; decision problems for regular trace languages; panic mode without panic; Computation tree logic CTL* and path quantifiers in the monadic theory of the binary tree; Modelchecking of CTL formulae under liveness assumptions; a modal logic for a subclass of event structures; parallel 5-colouring of planar graphs; parallel construction of a suffix tree: Extended abstract; the probabilistic and deterministic parallel complexity of symmetric functions; term matching on parallel computers; guessing games and distributed computations in synchronous networks; inverse image analysis; on the bivariate function minimization problem and its applications to motion planning; testing the necklace condition for Shortest Tours and optimal factors in the plane; nearly optimal heuristics for binary search trees with geometric generalizations: Extended abstract; approximating integer lattices by lattices with cyclic factor groups; on the complexity of graph critical uncolorability; posets, boolean representations and quick path searching; The lexicographically first maximal subgraph problems: P-completeness and NC algorithms; uniform computational complexity of Taylor series; lower bounds for sorting of sums.
|
[
"Programming Languages in NLP",
"Linguistic Theories",
"Structured Data in NLP",
"Linguistics & Cognitive NLP",
"Multimodality"
] |
[
55,
57,
50,
48,
74
] |
SCOPUS_ID:85068601980
|
14th International Computer Science Symposium in Russia, CSR 2019
|
The proceedings contain 31 papers. The special focus in this conference is on Computer Science Symposium in Russia. The topics include: Derandomization for sliding window algorithms with strict correctness; on the complexity of restarting; On the complexity of mixed dominating SET; Uniform CSP parameterized by solution size is in W[1]; on the parameterized complexity of edge-linked paths; the parameterized complexity of dominating set and friends revisited for structured graphs; transition property for cube-free words; A polynomial time delta-decomposition algorithm for positive DNFs; unpopularity factor in the marriage and roommates problems; reconstructing a convex polygon from its ω -cloud; AND protocols using only uniform shuffles; sybil-resilient conductance-based community growth; a space-efficient parameterized algorithm for the hamiltonian cycle problem by dynamic algebraization; quantum algorithm for distribution-free junta testing; on induced online ramsey number of paths, cycles, and trees; approximations of schatten norms via taylor expansions; nearly linear time isomorphism algorithms for some nonabelian group classes; belga B-trees; preface; approximability and inapproximability for maximum k-edge-colored clustering problem; eventually dendric shifts; on decidability of regular languages theories; minimizing branching vertices in distance-preserving subgraphs; on tseitin formulas, read-once branching programs and treewidth; Matched instances of quantum satisfiability (QSat) – product state solutions of restrictions; notes on resolution over linear equations; undecidable word problem in subshift automorphism groups; parameterized complexity of conflict-free set cover; forward looking huffman coding.
|
[
"Multimodality",
"Structured Data in NLP",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
74,
50,
48,
57
] |
SCOPUS_ID:85037567985
|
14th International Conference on Formal Grammar, FG 2009
|
The proceedings contain 13 papers. The special focus in this conference is on Economics of Grids. The topics include: Characterizing discontinuity in constituent treebanks; a learnable representation for syntax using residuated lattices; prior knowledge in learning finite parameter spaces; a model-theoretic framework for grammaticality judgements; multi-component tree insertion grammars; a grammar correction algorithm: Deep Parsing and minimal corrections for a grammar checker; D-STAG: a formalism for discourse analysis based on SDRT and using synchronous TAG; an efficient enumeration algorithm for canonical form underspecified semantic representations; a unified account of hausa genitive constructions; the generative capacity of the lambek–grishin calculus: A new lower bound; a savateev-style parsing algorithm for pregroup grammars.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:85063059256
|
14th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2017
|
The proceedings contain 19 papers. The special focus in this conference is on Computational Intelligence Methods for Bioinformatics and Biostatistics. The topics include: Haplotype and repeat separation in long reads; tumor subclonal progression model for cancer hallmark acquisition; GIMLET: Identifying biological modulators in context-specific gene regulation using local energy statistics; Structural features of a DPPG liposome layer adsorbed on a rough surface; chemical exchanges and actuation in liposome-based synthetic cells: Interaction with biological cells; A nano communication system for CTC detection in blood vessels; experimental evidences suggest high between-vesicle diversity of artificial vesicle populations: Results, models and implications; towards the synthesis of photo-autotrophic protocells; hierarchical block matrix approach for multi-view clustering; extracting few representative reconciliations with host switches; a quantitative and qualitative characterization of K-mer based alignment-free phylogeny construction; cancer mutational signatures identification with sparse dictionary learning; icing: Large-scale inference of immunoglobulin clonotypes; Adenine: A HPC-oriented tool for biological data exploration; disease–Genes must guide data source integration in the gene prioritization process; ensembling descendant term classifiers to improve gene - Abnormal phenotype predictions; GP-based grammatical inference for classification of amyloidogenic sequences.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:85123919726
|
14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings
|
The proceedings contain 300 papers. The topics discussed include: BRUMS at SemEval-2020 task 3: contextualized embeddings for predicting the (graded) effect of context in word similarity; MultiSem at semeval-2020 task 3: fine-tuning BERT for lexical meaning; BOS at SemEval-2020 task 1: word sense induction via lexical substitution for lexical semantic change detection; CIRCE at semeval-2020 task 1: ensembling context-free and context-dependent word representations; DCC-Uchile at SemEval-2020 task 1: temporal referencing word embeddings; TUE at SemEval-2020 task 1: detecting semantic change by clustering contextual word embeddings; and SHIKEBLCU at SemEval-2020 task 2: an external knowledge-enhanced matrix for multilingual and cross-lingual lexical entailment.
|
[
"Multilinguality",
"Semantic Text Processing",
"Cross-Lingual Transfer",
"Representation Learning"
] |
[
0,
72,
19,
12
] |
SCOPUS_ID:85042133389
|
14th National Conference on Man-Machine Speech Communication, NCMMSC 2017
|
The proceedings contain 13 papers. The special focus in this conference is on Man-Machine Speech Communication. The topics include: Using Mandarin training corpus to realize a Mandarin-Tibetan cross-lingual emotional speech synthesis; emotion recognition using support vector machine and deep neural network; distance-dependent modeling of head-related transfer functions based on spherical Fourier-bessel transform; GLEU-guided multi-resolution network for short text conversation; applying functional partition in the investigation of lexical tonal-pattern categories in an under-resourced Chinese dialect; Typology of convergences and divergences of English monophthongs by EFL learners from Guanhua regions; perception of English phonemes by Chinese college students; collaborative learning for language and speaker recognition; HelloNPU: A corpus for small-footprint wake-up word detection research; multi-task learning in prediction and correction for low resource speech recognition; acoustic model compression with knowledge transfer.
|
[
"Multimodality",
"Cross-Lingual Transfer",
"Speech & Audio in NLP",
"Multilinguality"
] |
[
74,
19,
70,
0
] |
SCOPUS_ID:85073018011
|
15<sup>th</sup> century Korean Grammar from a Viewpoint of Linguistic Typology and Historical Grammar
|
Historically. grammatical studies of 15th century Korean have been done mainly from an internal perspective. Through these efforts, many linguistic facts have been uncovered, but for future advancement, an external perspective is also needed. Linguistic typology and diachronic studies can provide such an external perspective. Linguistic typology can help describe more precisely the tenseaspect system of 15th century Korean, functions of tense-aspect markers, and alternation patterns of morphemes by transitivity. Sino-Korean materials of the old Korean period can help explain some peculiar uses of the prefinal ending “-n? -”.
|
[
"Typology",
"Syntactic Text Processing",
"Multilinguality"
] |
[
45,
15,
0
] |
SCOPUS_ID:85148736169
|
15th International Conference on Artificial General Intelligence, AGI 2022
|
The proceedings contain 44 papers. The special focus in this conference is on Artificial General Intelligence. The topics include: A Biologically Plausible Graph Structure for AGI; The Delta Normal AGI; purely Symbolic Induction of Structure; extended Subdomains: A Solution to a Problem of Hernández-Orallo and Dowe; Versatility-Efficiency Index (VEI): Towards a Comprehensive Definition of Intelligence Quotient (IQ) for Artificial General Intelligence (AGI) Agents; Moral Space for Paraconsistent AGI; PERI.2 Goes to PreSchool and Beyond, in Search of AGI; reinforcement Learning with Information-Theoretic Actuation; homomorphisms Between Transfer, Multi-task, and Meta-learning Systems; COMFO: Multilingual Corpus for Opinion Mining; core and Periphery as Closed-System Precepts for Engineering General Intelligence; toward Generating Natural-Language Explanations of Modal-Logic Proofs; ONA for Autonomous ROS-Based Robots; Generalized Identity Matching in NARS; adaptive Multi-strategy Market-Making Agent for Volatile Markets; toward a Comprehensive List of Necessary Abilities for Human Intelligence, Part 2: Using Knowledge; What Can Nonhuman Animals, Children, and g Tell Us About Human-Level Artificial General Intelligence (AGI)?; toward a Comprehensive List of Necessary Abilities for Human Intelligence, Part 1: Constructing Knowledge; cognitive Architecture for Co-evolutionary Hybrid Intelligence; an Approach to Generation Triggers for Parrying Backdoor in Neural Networks; information as Entanglement—A Framework for Artificial General Intelligence; The Learning Agent Triangle: Towards a Unified Disambiguation of the AGI Challenge; maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture; Market Prediction as a Task for AGI Agents; monte Carlo Bias Correction in Q-Learning; free Will Belief as a Consequence of Model-Based Reinforcement Learning; thoughts on Architecture; On the Possibility of Regulation of Human Emotions via Multimodal Social Interaction with an Embodied Agent Controlled by eBICA-Based Emotional Interaction Model; QKSA: Quantum Knowledge Seeking Agent; grammar Induction - Experimental Results.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:84948971526
|
15th International Conference on Computational Science and Its Applications, ICCSA 2015
|
The proceedings contain 42 papers. The special focus in this conference is on Environmental Information, Decision Support Systems, Methods of Security Engineering and Advances in Web Based Learning. The topics include: An open data platform for cumulative environmental analysis and management; mining climate change awareness on twitter; assessing patterns of urban transmutation through 3d geographical modelling and using historical micro-datasets; potential nitrogen load from crop-livestock systems; an empirical multi-classifier for coffee rust detection in Colombian crops; a fast approach towards android malware detection; a tight security reduction designated verifier proxy signature scheme without random oracle; CBR method for risk assessment on power grid protection under natural disasters; urban power network vulnerability assessment based on multi-attribute analysis; teaching-learning environment tool to promote individualized student assistance; autonomous tuning for constraint programming via artificial bee colony optimization; monitoring of service-oriented applications for the reconstruction of interactions models; interactive image segmentation of non-contiguous classes using particle competition and cooperation; name entity recognition for Malay texts using cross-lingual annotation projection approach; variable size block matching trajectories for human action recognition; deployment of collaborative softwares as a service in a private cloud to a software factory; latency optimization for resource allocation in cloud computing system; optimized elastic query mesh for cloud data streams; set similarity measures for images based on collective knowledge and clustering retrieved web documents to speed up web searches.
|
[
"Multilinguality",
"Visual Data in NLP",
"Cross-Lingual Transfer",
"Multimodality"
] |
[
0,
20,
19,
74
] |
SCOPUS_ID:85036578420
|
15th International Conference on Developments in Language Theory, DLT 2011
|
The proceedings contain 46 papers. The special focus in this conference is on Developments in Language Theory. The topics include: Syntactic complexity of ideal and closed languages; generalized one-unambiguity; simulations over two-dimensional on-line tessellation automata; Δ-clearing restarting automata and CFL; enumeration and decidable properties of automatic sequences; languages vs. ω-languages in regular infinite games; solving word problems in group extensions over infinite words; abelian primitive words; scattered context-free linear orderings; some remarks on automata minimality; on prefix normal words; on non-complete sets and restivo’s conjecture; self-organization in cellular automata: A particle-based approach; chop operations and expressions: Descriptional complexity considerations; nodes connected by path languages; characterizing the regular languages by nonforgetting restarting automata; on two-way transducers; there does not exist a minimal full trio with respect to bounded context-free languages; describing periodicity in two-way deterministic finite automata using transformation semigroups; deciding networks of evolutionary processors; growth properties of power-free languages; from linear partitions to parallelogram polyominoes; on brzozowski’s conjecture for the free burnside semigroup satisfying x2 = x3 ; never minimal automata and the rainbow bipartite subgraph problem; boolean algebras of regular languages; fife’s theorem revisited; infinite words rich and almost rich in generalized palindromes; models of pushdown automata with reset; towards dual approaches for learning context-free grammars based on syntactic concept lattices; on highly repetitive and power free words; a sufficient condition for erasing productions to be avoidable; a functional program for regular expressions matching: abstract of invited talk; encoding centered polyominoes by means of a regular language.
|
[
"Linguistics & Cognitive NLP",
"Syntactic Text Processing",
"Linguistic Theories"
] |
[
48,
15,
57
] |
SCOPUS_ID:85069470036
|
15th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2019, held in conjunction with the 12th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2019
|
The proceedings contain 95 papers. The special focus in this conference is on Intelligent Information Hiding and Multimedia Signal Processing. The topics include: A High-Efficient Infrared Mosaic Algorithm Based on GMS; a Load Economic Dispatch Based on Ion Motion Optimization Algorithm; improving Correlation Function Method to Generate Three-Dimensional Atmospheric Turbulence; study on Product Name Disambiguation Method Based on Fusion Feature Similarity; delegated Preparation of Quantum Error Correction Code for Blind Quantum Computation; Design of SpaceWire Interface Conversion to PCI Bus; a Chaotic Map with Amplitude Control; analysis of Factors Associated to Smoking Cessation Plan Among Adult Smokers; an Efficient Semantic Document Similarity Calculation Method Based on Double-Relations in Gene Ontology; optimal Scheduling and Benefit Analysis of Solid Heat Storage Devices in Cold Regions; analysis of the Dispersion of Impact Point of Smart Blockade and Control Ammunition System Based on Monte Carlo Method; analysis of the Trajectory Characteristics and Distribution of Smart Blockade and Control Ammunition System; Study on Lee-Tarver Model Parameters of CL-20 Explosive Ink; optimal Design of Online Peer Assessment System; a Method of Calculating the Safety Margin of the Power Network Considering Cascading Trip Events; research on Intelligent Hierarchical Control of Large Scale Electric Storage Thermal Unit; global Maximum Power Point Tracking Algorithm for Solar Power System; a Design of Electricity Generating Station Power Prediction Unit with Low Power Consumption Based on Support Vector Regression; design of Power Meter Calibration Line Control System; foreground Extraction Based on 20-Neighborhood Color Motif Co-occurrence Matrix; open Information Extraction for Mongolian Language.
|
[
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Open Information Extraction",
"Information Extraction & Text Mining"
] |
[
68,
4,
25,
3
] |
SCOPUS_ID:85127132607
|
15th International Conference on the Computational Processing of Portuguese, PROPOR 2022
|
The proceedings contain 42 papers. The special focus in this conference is on Computational Processing of Portuguese. The topics include: SS-PT: A Stance and Sentiment Data Set from Portuguese Quoted Tweets; ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling; banking Regulation Classification in Portuguese; automatic Information Extraction: A Distant Reading of the Brazilian Historical-Biographical Dictionary; automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks; entity Extraction from Portuguese Legal Documents Using Distant Supervision; sexist Hate Speech: Identifying Potential Online Verbal Violence Instances; book Genre Classification Based on Reviews of Portuguese-Language Literature; combining Word Embeddings for Portuguese Named Entity Recognition; a Test Suite for the Evaluation of Portuguese-English Machine Translation; BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives; fostering Judiciary Applications with New Fine-Tuned Models for Legal Named Entity Recognition in Portuguese; using Topic Modeling in Classification of Brazilian Lawsuits; PortNOIE: A Neural Framework for Open Information Extraction for the Portuguese Language; tracking Environmental Policy Changes in the Brazilian Federal Official Gazette; a Transfer Learning Analysis of Political Leaning Classification in Cross-domain Content; Integrating Question Answering and Text-to-SQL in Portuguese; named Entity Extractors for New Domains by Transfer Learning with Automatically Annotated Data; PTT5-Paraphraser: Diversity and Meaning Fidelity in Automatic Portuguese Paraphrasing; a Protocol for Comparing Gesture and Prosodic Boundaries in Multimodal Corpora; MINT - Mainstream and Independent News Text Corpus; forced Phonetic Alignment in Brazilian Portuguese Using Time-Delay Neural Networks; brazilian Portuguese Speech Recognition Using Wav2vec 2.0; a Corpus of Neutral Voice Speech in Brazilian Portuguese; comparing Lexical and Usage Frequencies of Palatal Segments in Portuguese; Drilling Lexico-Semantic Knowledge in Portuguese from BERT.
|
[
"Language Models",
"Topic Modeling",
"Semantic Text Processing",
"Information Retrieval",
"Speech & Audio in NLP",
"Open Information Extraction",
"Named Entity Recognition",
"Multimodality",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
52,
9,
72,
24,
70,
25,
34,
74,
78,
36,
3
] |
SCOPUS_ID:85060749090
|
15th Italian Research Conference on Digital Libraries, IRCDL 2019
|
The proceedings contain 27 papers. The special focus in this conference is on Digital Libraries. The topics include: OpenAIRE’s DOIBoost - Boosting Crossref for Research; enriching Digital Libraries with Crowdsensed Data: Twitter Monitor and the SoBigData Ecosystem; populating Narratives Using Wikidata Events: An Initial Experiment; Metadata as Semantic Palimpsests: The Case of PHAIDRA@unipd; in Codice Ratio: Machine Transcription of Medieval Manuscripts; foundations of a Framework for Peer-Reviewing the Research Flow; A Practical Workflow for an Open Scientific Lifecycle Project: EcoNAOS; Data Deposit in a CKAN Repository: A Dublin Core-Based Simplified Workflow; information Literacy Needs Open Access or: Open Access is not Only for Researchers; making Large Collections of Handwritten Material Easily Accessible and Searchable; The OpenUP Pilot on Research Data Sharing, Validation and Dissemination in Social Sciences; crowdsourcing Peer Review: As We May Do; hands-On Data Publishing with Researchers: Five Experiments with Metadata in Multiple Domains; towards a Process Mining Approach to Grammar Induction for Digital Libraries: Syntax Checking and Style Analysis; keyphrase Extraction via an Attentive Model; semantically Aware Text Categorisation for Metadata Annotation; collecting and Controlling Distributed Research Information by Linking to External Authority Data - A Case Study; interactive Text Analysis and Information Extraction; transparency in Keyword Faceted Search: An Investigation on Google Shopping; Predicting the Usability of the Dice CAPTCHA via Artificial Neural Network; water to the Thirsty Reflections on the Ethical Mission of Libraries and Open Access; computational Terminology in eHealth; connecting Researchers to Data Repositories in the Earth, Space, and Environmental Sciences.
|
[
"Text Error Correction",
"Syntactic Text Processing",
"Information Extraction & Text Mining"
] |
[
26,
15,
3
] |
SCOPUS_ID:85075575789
|
16th Extended Semantic Web Conference, ESWC 2019
|
The proceedings contain 48 papers. The special focus in this conference is on Extended Semantic Web. The topics include: How to Validate Ontologies with Themis; The Magic of Semantic Enrichment and NLP for Medical Coding; an Ontology of Finnish Historical Occupations; Information Extraction in Editorial Setting. A Tale of PDFs; an Open Source Dataset and Ontology for Product Footprinting; IEDM: An Ontology for Irradiation Experiments Data Management; CALVADOS: A Tool for the Semantic Analysis and Digestion of Web Contents; efficient Retrieval of Knowledge Graph Fact Evidences; SAD Generator: Eating Our Own Dog Food to Generate KGs and Websites for Academic Events; mining Scholarly Publications for Scientific Knowledge Graph Construction; OECM: A Cross-Lingual Approach for Ontology Enrichment; how Diverse Are Federated Query Execution Plans Really?; open Data Chatbot; question Answering for Link Prediction and Verification; extracting Genealogical Networks of Linked Data from Biographical Texts; entity Embedding Analogy for Implicit Link Discovery; a License-Based Search Engine; historEx: Exploring Historical Text Corpora Using Word and Document Embeddings; ordia: A Web Application for Wikidata Lexemes; towards Cataloguing Potential Derivations of Personal Data; republishing OpenStreetMap’s Roads as Linked Routable Tiles; DAFO: An Ontological Database System with Faceted Queries; a Configurable Evaluation Framework for Node Embedding Techniques; querying the Edit History of Wikidata; A New Tool for Linked Data Visualization and Exploration in 3D/VR Space; open Cultural Heritage Data in University Programming Courses; Using an Existing Website as a Queryable Low-Cost LOD Publishing Interface; a Tagger for Glossary of Terms Extraction from Ontology Competency Questions.
|
[
"Multilinguality",
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Knowledge Representation",
"Multimodality",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
72,
50,
12,
18,
74,
19,
3
] |
SCOPUS_ID:85034269893
|
16th International Colloquium on Automata, Languages and Programming, 1989
|
The proceedings contain 51 papers. The special focus in this conference is on Automata, Languages and Programming. The topics include: Completion of finite codes with finite deciphering delay; relational semantics for recursive types and bounded quantification; a singly-exponential stratification scheme for real semi-algebraic varieties and its applications; about primitive recursive algorithms; the definability of equational graphs in monadic second-order logic; Dominoes and the regularity of DNA splicing languages; causal trees; infinite normal forms: Preliminary version; on recent trends in algebraic specification; limitations of the upward separation technique (preliminary version); automata with storage on infinite words; parallel algorithmic techniques for combinatorial computation; on dice and coins: models of computation for random generation; an optimal probabilistic algorithm for synchronous Byzantine agreement; finding triconnected components by local replacements: Extended abstract; an improved algorithm for approximate string matching; a pointer-free data structure for merging heaps and min-max heaps; structured operational semantics and bisimulation as a congruence: Extended abstract; parallel retrieval of scattered information; Tensor rank is NP-complete; lower bounds for the low hierarchy: Extended abstract; the complexity of nonlinear separable optimization; general methods for the analysis of the maximum size of dynamic data structures: Extended abstract; how to share concurrent asynchronous wait-free variables: Preliminary version; a new approach to formal language theory by kolmogorov complexity: Preliminary version; dynamic algorithms in D.E. Knuth's model: A probabilistic analysis; completing the temporal picture; lower bounds for computations with the floor operation; programming, transforming, and proving with function abstractions and memories; automata theory meets circuit complexity; partial communations.
|
[
"Programming Languages in NLP",
"Multimodality",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
55,
74,
48,
57
] |
SCOPUS_ID:85088530661
|
16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019
|
The proceedings contain 42 papers. The special focus in this conference is on Pacific Association for Computational Linguistics. The topics include: Learning to Evaluate Neural Language Models; recommending the Workflow of Vietnamese Sign Language Translation via a Comparison of Several Classification Algorithms; Document Classification by Word Embeddings of BERT; deep Domain Adaptation for Low-Resource Cross-Lingual Text Classification Tasks; multi-task Learning for Aspect and Polarity Recognition on Vietnamese Datasets; evaluating Classification Algorithms for Recognizing Figurative Expressions in Japanese Literary Texts; model-Driven Web Page Segmentation for Non Visual Access; Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection; a Pilot Study on Argument Simplification in Stance-Based Opinions; split First and Then Rephrase: Hierarchical Generation for Sentence Simplification; automatic Approval of Online Comments with Multiple-Encoder Networks; is the Simplest Chatbot Effective in English Writing Learning Assistance?; towards Task-Oriented Dialogue in Mixed Domains; timing Prediction of Facilitating Utterance in Multi-party Conversation; evaluating Co-reference Chains Based Conversation History in Conversational Question Answering; multiple Linear Regression of Combined Pronunciation Ease and Accuracy Index; Rap Lyrics Generation Using Vowel GAN; emotion Recognition for Vietnamese Social Media Text; effects of Soft-Masking Function on Spectrogram-Based Instrument - Vocal Separation; japanese Predicate Argument Structure Analysis with Pointer Networks; Abstractive Text Summarization Using LSTMs with Rich Features; an Experimental Study on Constituency Parsing for Vietnamese; antonyms-Synonyms Discrimination Based on Exploiting Rich Vietnamese Features; Towards a UMLS-Integratable Vietnamese Medical Terminology; Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture; towards Computing Inferences from English News Headlines.
|
[
"Paraphrasing",
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Generation",
"Cross-Lingual Transfer",
"Text Classification",
"Multilinguality"
] |
[
32,
3,
24,
47,
19,
36,
0
] |
SCOPUS_ID:85098250970
|
17th International Conference on Distributed Computing and Internet Technology, ICDCIT 2021
|
The proceedings contain 20 papers. The special focus in this conference is on Distributed Computing and Internet Technology. The topics include: Parameterized complexity of defensive and offensive alliances in graphs; a reconstructive model for identifying the global spread in a pandemic; cost effective method for ransomware detection: An ensemble approach; exploring Alzheimer’s disease network using social network analysis; stroke prediction using machine learning in a distributed environment; Automated diagnosis of breast cancer with roi detection using YOLO and heuristics; an efficient approach for event prediction using collaborative distance score of communities; A distributed system for optimal scale feature extraction and semantic classification of large-scale airborne LiDAR point clouds; load balancing approach for a mapreduce job running on a heterogeneous hadoop cluster; Model development in the tool use: Explorative, consolidating and analytic steps for UML and OCL models; Study the significance of ML-ELM using combined pagerank and content-based feature selection; reLink: Open information extraction by linking phrases and its applications; energy-efficient scheduling of deadline-sensitive and budget-constrained workflows in the cloud; an efficient renewable energy-based scheduling algorithm for cloud computing; a revenue-based service management algorithm for vehicular cloud computing; interference reduction in directional wireless networks; automated deadlock detection for large java libraries; DNet: An efficient privacy-preserving distributed learning framework for healthcare systems.
|
[
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Open Information Extraction",
"Information Extraction & Text Mining"
] |
[
68,
4,
25,
3
] |
SCOPUS_ID:85044404276
|
17th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2016
|
The proceedings contain 94 papers. The special focus in this conference is on . The topics include: Mining the web for collocations: IR models of term associations; a continuum-based model of lexical acquisition; description of Turkish paraphrase corpus structure and generation method; extracting terminological relationships from historical patterns of social media terms; adaptation of cross-lingual transfer methods for the building of medical terminology in Ukrainian; adaptation of a term extractor to arabic specialised texts: First experiments and limits; corpus frequency and affix ordering in Turkish; pluralising nouns in isiZulu and related languages; morphological analysis of urdu verbs; a roadmap towards machine intelligence; stemming and segmentation for classical Tibetan; part of speech tagging for Polish: State of the art and future perspectives; turkish PoS tagging by reducing sparsity with morpheme tags in small datasets; part-of-Speech Tagging for code mixed English-Telugu social media data; analysis of word order in multiple treebanks; a framework for language resource construction and syntactic analysis: Case of Arabic; enhancing neural network based dependency parsing using morphological information for Hindi; construction grammar based annotation framework for parsing Tamil; comparative error analysis of parser outputs on Telugu Dependency Treebank; gut, Besser, Chunker – Selecting the best models for text chunking with voting; algebraic specification for interoperability between data formats: Application on Arabic Lexical Data; a deep learning solution to named entity recognition; deep learning approach for arabic named entity recognition; hybrid feature selection approach for arabic named entity recognition; Named-Entity-Recognition (NER) for tamil language using Margin-Infused Relaxed Algorithm (MIRA).
|
[
"Multilinguality",
"Morphology",
"Syntactic Text Processing",
"Named Entity Recognition",
"Syntactic Parsing",
"Tagging",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
73,
15,
34,
28,
63,
19,
3
] |
SCOPUS_ID:85037649778
|
17th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2010
|
The proceedings contain 45 papers. The special focus in this conference is on Logic for Programming, Artificial Intelligence, and Reasoning. The topics include: Characterising space complexity classes via Knuth-Bendix orders; focused natural deduction; how to universally close the existential rule; on the Complexity of the Bernays-Schönfinkel Class with Datalog; magically constraining the inverse method using dynamic polarity assignment; lazy abstraction for size-change termination; a syntactical approach to qualitative constraint networks merging; on the satisfiability of two-variable logic over data words; generic methods for formalising sequent calculi applied to provability logic; awareness in games, awareness in logic; characterising probabilistic processes logically: (Extended abstract); fCube: An efficient prover for Intuitionistic propositional logic; superposition-Based Analysis of First-Order Probabilistic Timed Automata; A nonmonotonic extension of KLM Preferential logic P; on strong normalization of the Calculus of Constructions with type-based termination; aligators for arrays (tool paper); Clause elimination procedures for CNF formulas; Partitioning SAT instances for distributed solving; infinite families of finite string rewriting systems and their confluence; polite theories revisited; human and unhuman commonsense reasoning; clausal graph tableaux for hybrid logic with eventualities and difference; The consistency of the CADIAG-2 knowledge base: A probabilistic approach; on the Complexity of Model Expansion; labelled Unit Superposition Calculi for Instantiation-Based Reasoning; Boosting local search thanks to CDCL; interpolating quantifier-free Presburger Arithmetic; variable compression in ProbLog; Improving resource-unaware SAT solvers; expansion nets: Proof-nets for propositional classical logic; revisiting matrix interpretations for polynomial derivational complexity of term rewriting; Gödel logics – A SURVEY; bottom-up tree automata with term constraints.
|
[
"Programming Languages in NLP",
"Paraphrasing",
"Commonsense Reasoning",
"Text Generation",
"Reasoning",
"Multimodality"
] |
[
55,
32,
62,
47,
8,
74
] |
SCOPUS_ID:85054868018
|
17th International Semantic Web Conference, ISWC 2018
|
The proceedings contain 62 papers. The special focus in this conference is on . The topics include: Enriching knowledge bases with counting quantifiers; QA4IE: A question answering based framework for information extraction; constructing a recipe web from historical newspapers; structured event entity resolution in humanitarian domains; that’s interesting, tell me more! finding descriptive support passages for knowledge graph relationships; Exploring RDFS KBs using summaries; what is the cube root of 27? question answering over codeontology; GraFa: Scalable faceted browsing for RDF graphs; Semantics and validation of recursive SHACL; aligning knowledge base and document embedding models using regularized multi-task learning; Certain answers for SPARQL with blank nodes; Efficient handling of SPARQL OPTIONAL for OBDA; representativeness of knowledge bases with the generalized benford’s law; detecting erroneous identity links on the web using network metrics; SPgen: A benchmark generator for spatial link discovery tools; specifying, monitoring, and executing workflows in linked data environments; Mapping diverse data to RDF in practice; a novel approach and practical algorithms for ontology integration; practical ontology pattern instantiation, discovery, and maintenance with reasonable ontology templates; pragmatic ontology evolution: Reconciling user requirements and application performance; inducing implicit relations from text using distantly supervised deep nets; Towards empty answers in SPARQL: Approximating querying with RDF embedding; query-based linked data anonymization; Answering provenance-aware queries on RDF data cubes under memory budgets; bash datalog: Answering datalog queries with unix shell commands; WORQ: Workload-driven RDF query processing; Canonicalisation of monotone SPARQL queries; cross-lingual classification of crisis data; measuring semantic coherence of a conversation.
|
[
"Multilinguality",
"Semantic Text Processing",
"Structured Data in NLP",
"Question Answering",
"Representation Learning",
"Knowledge Representation",
"Natural Language Interfaces",
"Cross-Lingual Transfer",
"Multimodality"
] |
[
0,
72,
50,
27,
12,
18,
11,
19,
74
] |
SCOPUS_ID:85038034099
|
17th International Symposium on String Processing and Information Retrieval, SPIRE 2010
|
The proceedings contain 42 papers. The special focus in this conference is on String Processing and Information Retrieval. The topics include: Training parse trees for efficient VF coding; algorithms for finding a minimum repetition representation of a string; faster compressed dictionary matching; incremental algorithms for effective and efficient query recommendation; relative lempel-ziv compression of genomes for large-scale storage and retrieval; standard deviation as a Query hardness estimator; using related queries to improve web search results ranking; evaluation of Query Performance Prediction methods by range; mining large query induced graphs towards a hierarchical query folksonomy; finite automata based algorithms for the generalized constrained longest common subsequence problems; Restricted LCS; extracting powers and periods in a string from its runs structure; on Shortest Common Superstring and swap permutations; a self-supervised approach for extraction of attribute-value pairs from Wikipedia articles; fingerprinting ratings for collaborative filtering — theoretical and empirical analysis; temporal analysis of document collections: Framework and applications; text comparison using soft cardinality; hypergeometric language model and Zipf-like scoring function for Web document similarity retrieval; dual-sorted inverted lists; CST++; succinct representations of dynamic strings; computing matching statistics and maximal exact matches on compressed full-text indexes; the gapped suffix array: A new index structure for fast approximate matching; parameterized searching with mismatches for run-length encoded strings: (Extended abstract); fast bit-parallel matching for network and regular expressions; on tag spell checking; string matching with variable length gaps; approximate string matching with stuck address bits; compressed self-indices supporting conjunctive queries on document collections; preface.
|
[
"Text Error Correction",
"Green & Sustainable NLP",
"Syntactic Text Processing",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] |
[
26,
68,
15,
24,
4
] |
SCOPUS_ID:85062086232
|
18th International Conference on Advances in ICT for Emerging Regions, ICTer 2018 - Proceedings
|
The proceedings contain 66 papers. The topics discussed include: text analytics; lane detection and prediction under hazy situations for autonomous vehicle navigation; non-orthogonal multiple access in physical layer network coded parallel relay channels; answer generation for set type math word problems; K-medoids clustering based approach to predict the future water height of a reservoir; enhancing decision making capacity in tourism domain using social media analytics; hybrid weight factorization recommendation system; the next generation of digit commerce; and comparative analysis of Octomap and RTABMap for multi-robot disaster site mapping.
|
[
"Reasoning",
"Numerical Reasoning"
] |
[
8,
5
] |
SCOPUS_ID:85092261008
|
18th International Conference on Artificial Intelligence in Medicine, AIME 2020
|
The proceedings contain 43 papers. The special focus in this conference is on Artificial Intelligence in Medicine. The topics include: Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks; drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph; AI Medical School Tutor: Modelling and Implementation; lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks; Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR Data; innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce; consensus Modeling: A Transfer Learning Approach for Small Health Systems; An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products’ Discards; towards Assigning Diagnosis Codes Using Medication History; heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions; blockchain-Based Federated Learning in Medicine; forming Local Intersections of Projections for Classifying and Searching Histopathology Images; difficulty Translation in Histopathology Images; weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images; a High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image; a Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions; multi-view Clustering with mvReliefF for Parkinson’s Disease Patients Subgroup Detection; unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs; multi-scale Temporal Memory for Clinical Event Time-Series Prediction; HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population; controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning; diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events; acute Hypertensive Episodes Prediction.
|
[
"Visual Data in NLP",
"Text Error Correction",
"Syntactic Text Processing",
"Multimodality"
] |
[
20,
26,
15,
74
] |
SCOPUS_ID:85115860975
|
18th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2021
|
The proceedings contain 27 papers. The special focus in this conference is on Modeling Decisions for Artificial Intelligence. The topics include: A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems; mass-Based Similarity Weighted k-Neighbor for Class Imbalance; Multinomial-Based Decision Synthesis of ML Classification Outputs; quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems; evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise; well-Calibrated and Sharp Interpretable Multi-Class Models; automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering; q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data; Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning; new Eliahou Semigroups and Verification of the Wilf Conjecture for Genus up to 65; network Clustering with Controlled Node Size; fairly Private Through Group Tagging and Relation Impact; MEDICI: A Simple to Use Synthetic Social Network Data Generator; answer Passage Ranking Enhancement Using Shallow Linguistic Features; neural Embedded Dirichlet Processes for Topic Modeling; density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts; explaining Image Misclassification in Deep Learning via Adversarial Examples; towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control; are Sequential Patterns Shareable? Ensuring Individuals’ Privacy; on Two Generalizations for k-Additivity; sequential Decision-Making Under Uncertainty Using Hybrid Probability-Possibility Functions; numerical Comparison of Idempotent Andness-Directed Aggregators; multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach; a Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty; how the F-Transform Can Be Defined for Hesitant, Soft or Intuitionistic Fuzzy Sets?.
|
[
"Text Classification",
"Text Clustering",
"Passage Retrieval",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
36,
29,
66,
24,
3
] |
SCOPUS_ID:84984808102
|
18th International Conference on Speech and Computer, SPECOM 2016
|
The proceedings contain 88 papers. The special focus in this conference is on Speech and Computer. The topics include: Automatic speech recognition based on neural networks; machine processing of dialogue states; speech recognition challenges in the car navigation industry; a comparison of acoustic features of speech of typically developing children and children with autism spectrum disorders; a linguistic interpretation of the atom decomposition of fundamental frequency contour for American english; a phonetic segmentation procedure based on hidden markov models; a preliminary exploration of group social engagement level recognition in multiparty casual conversation; an agonist-antagonist pitch production model; an algorithm for phase manipulation in a speech signal; an exploratory study on sociolinguistic variation of Russian everyday speech; approaches for out-of-domain adaptation to improve speaker recognition performance; assessment of the relation between low-frequency features and velum opening by using real articulatory data; automatic summarization of highly spontaneous speech; bio-inspired sparse representation of speech and audio using psychoacoustic adaptive matching pursuit; comparative analysis of classifiers for automatic language recognition in spontaneous speech; comparison of retrieval approaches and blind relevance feedback methods within the Czech speech information retrieval; convolutional neural network in the task of speaker change detection; design of a speech corpus for research on cross-lingual prosody transfer; designing high-coverage multi-level text corpus for non-professional-voice conservation; detecting laughter and filler events by time series smoothing with genetic algorithms and ensemble deep neural network based waveform-driven stress model for speech synthesis.
|
[
"Multilinguality",
"Speech & Audio in NLP",
"Speech Recognition",
"Text Generation",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multimodality"
] |
[
0,
70,
10,
47,
19,
24,
74
] |
SCOPUS_ID:35448979450
|
1956-1966 how did it all begin? - Issues then and now
|
Many computer programs today show skills that appear to rival those of outstanding human consultants. However, while each such program does certain things well, it is helpless at doing anything else. Why do our present-day programs lack the versatility and resourcefulness that a typical person shows? Clearly, those programs are deficient in both commonsense knowledge and commonsense reasoning. I'll argue that this has happened because the field of AI has evolved in a backwards direction, as compared with how a typical person develops-and that this is because our AI programmers have not appreciated the importance of making their system able to use more 'reflective' ways to think. We can see this backwards trend in the earliest years. Consider the following list of AI accomplishments. 1957 Arthur Samuel: A machine that plays master-level Checkers. 1957 Newell, Shaw and Simon. Proving theorems in Propositional Logic. 1960 Herbert Gelernter: Proving theorems in Euclidean Geometry 1960 James Slagle: Symbolic Integral Calculus 1963 Lawrence G. Roberts: 3-D Visual Perception 1964 Thomas G. Evans: Solving Geometry Analogy problems. 1965 Daniel Bobrow: Solving word problems in Algebra 1969 C. Engelman, W. A. Martin and J. Moses: the MACSYMA project. 1969 Minsky, Papert, et al: A robot builds structures with wooden blocks. 1970 Patrick Winston: A robot that learns to recognize such structures. 1970 Terry Winograd: A program that understands many sentences. 1972 Gerald Sussman: A program that recognizes some bugs in programs. 1974 Eugene Charniak: A program that understands a few simple stories Although there are many exceptions to this, one can discern a trend in which the early programs made progress at 'expert' tasks-whereas the later programs attempted to do things that typical four-year-olds do. In retrospect, we can clearly see that those 'more advanced' skills were easier because they required less commonsense knowledge and reasoning. The situation is still the same today: no visual program can recognize the objects in a typical room, or answer simple-seeming questions about the stories in a typical first-grade storybook. In subsequent years most AI researchers aimed to discover some single problem-solving technique could keep extending itself. Consequently the field of AI divided itself into such specialties as Rule-Based Systems, Artificial Neural Networks, Statistical Inference Systems, Formal Mathematical Logic, Genetic Programs, and so on. Each of these were effective in certain types of situations, but never became very competent in other kinds of realms of domains. It seems to me that what went wrong was that too many researchers became advocates and too few attempted to discover the limitations of their favorite method. Instead, most such researchers publish only instances in which their favorite scheme solves some particular problem, but the literature shows little discussion or classification of the realms in which each such system fails. For example, in 1969 Seymour Papert and I published a book that showed some serious limitations of certain three-layer non-reentrant neural networks-but most researchers in that field have wrongly assumed that those limitations would not hold for such networks with more layers. However, so far as I can see, almost all of our theorems still apply, in the sense that the size of the networks and their coefficients still grow exponentially with the scale of the problem. The basic problem is that such networks compute only non-recursive functions. In other words, they simply cannot do any 'reflective thinking' about why their recent activities failed or succeeded-and this limited the effectiveness of what they could learn from experience. An attempt to describe a more reflective system appeared in a 1960 paper by Newell, Shaw, and Simon, but I have seen no later references to that proposed approach. My lecture will describe some ideas about how we could build more resourceful machines, by designing system that can learn when and how to switch between many different ways to think. More details about these ideas are discussed on my website at http://web.media.mit.edu/ ~minsky/E8/eb8.html. If there is time, I will also discuss the early years of working with Warren McCulloch and other pioneers. © Springer-Verlag Berlin Heidelberg 2007.
|
[
"Visual Data in NLP",
"Programming Languages in NLP",
"Language Models",
"Semantic Text Processing",
"Commonsense Reasoning",
"Reasoning",
"Multimodality"
] |
[
20,
55,
52,
72,
62,
8,
74
] |
SCOPUS_ID:85045182469
|
1990 US Census Form Recognition Using CTC Network, WFST Language Model, and Surname Correction
|
This paper presents a system for transcribing 1990 US census forms. Extraction of information from census forms is useful for creating a genealogy database and better archiving census forms. We trained CTC/LSTM-RNN networks as our OCR engine. We solved the major challenge in language modeling by defining syntactical constraints with WFST language models. We made two major technical contributions in this paper. Firstly, 1990 US census forms were automatically transcribed with compelling accuracy for the first time using our system, which can be useful in downstream study in information extracted from census forms. Secondly, we designed a novel post-processing algorithm that improved the recognition accuracy of surnames significantly.
|
[
"Language Models",
"Semantic Text Processing"
] |
[
52,
72
] |
SCOPUS_ID:85097257280
|
19th China National Conference on Computational Linguistics, CCL 2020
|
The proceedings contain 34 papers. The special focus in this conference is on Computational Linguistics. The topics include: Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism; a Practice of Tourism Knowledge Graph Construction Based on Heterogeneous Information; a Novel Joint Framework for Multiple Chinese Events Extraction; entity Relative Position Representation Based Multi-head Selection for Joint Entity and Relation Extraction; a Mixed Learning Objective for Neural Machine Translation; multi-reward Based Reinforcement Learning for Neural Machine Translation; low-Resource Text Classification via Cross-Lingual Language Model Fine-Tuning; constructing Uyghur Named Entity Recognition System Using Neural Machine Translation Tag Projection; recognition Method of Important Words in Korean Text Based on Reinforcement Learning; semantic-Aware Chinese Zero Pronoun Resolution with Pre-trained Semantic Dependency Parser; mongolian Questions Classification Based on Multi-Head Attention; the Annotation Scheme of English-Chinese Clause Alignment Corpus; categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explanation Tool; LiveQA: A Question Answering Dataset Over Sports Live; Chinese and English Elementary Discourse Units Recognition Based on Bi-LSTM-CRF Model; better Queries for Aspect-Category Sentiment Classification; multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language; CAN-GRU: A Hierarchical Model for Emotion Recognition in Dialogue; a Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer; compress Polyphone Pronunciation Prediction Model with Shared Labels; improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning; multi-task Legal Judgement Prediction Combining a Subtask of the Seriousness of Charges; clickbait Detection with Style-Aware Title Modeling and Co-attention.
|
[
"Multilinguality",
"Machine Translation",
"Information Retrieval",
"Named Entity Recognition",
"Text Generation",
"Sentiment Analysis",
"Cross-Lingual Transfer",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
0,
51,
24,
34,
47,
78,
19,
36,
3
] |
SCOPUS_ID:85123913709
|
19th Chinese National Conference on Computational Linguistic, CCL 2020
|
The proceedings contain 109 papers. The topics discussed include: cross-lingual dependency parsing via self-training; a joint model for graph-based Chinese dependency parsing; semantic-aware Chinese zero pronoun resolution with pre-trained semantic dependency parser; improving sentence classification by multilingual data augmentation and consensus learning; attention-based graph neural network with global context awareness for document understanding; combining impression feature representation for multi-turn conversational question answering; and Chinese long and short form choice exploiting neural network language modeling approaches.
|
[
"Multilinguality",
"Structured Data in NLP",
"Syntactic Text Processing",
"Syntactic Parsing",
"Cross-Lingual Transfer",
"Multimodality"
] |
[
0,
50,
15,
28,
19,
74
] |
SCOPUS_ID:84947079418
|
19th International Conference on Developments in Language Theory, DLT 2015
|
The proceedings contain 34 papers. The special focus in this conference is on Developments in Language Theory. The topics include: Recognisable languages over monads; garside and quadratic normalisation; grammar-based tree compression; on decidability of intermediate levels of concatenation hierarchies; ergodic infinite permutations of minimal complexity; diverse palindromic factorization is NP-complete; factorization in formal languages; consensus game acceptors; on the size of two-way reasonable automata for the liveness problem; squareable words; transformation monoids of finite automata; palindromic complexity of trees; deciding proper conjugacy of classes of one-sided finite-type-dyck shifts; transfinite lyndon words; unary patterns with permutations; two models with transitions for local change; enumeration formula in neutral sets; on the density of context-free and counter languages; unary probabilistic and quantum automata on promise problems; generalizations of code languages with marginal errors; minimal reversible deterministic finite automata; multi-sequential word relations; the boundary of prefix-free languages; a connected 3-state reversible mealy automaton cannot generate an infinite burnside group; path checking for MTL and TPTL over data words; interval exchange words and the question of hof, knill, and simon; state complexity of neighbourhoods and approximate pattern matching; deterministic ordered restarting automata that compute functions; weight assignment logic and complexity bounds of constant-space quantum computation.
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
https://aclanthology.org//2022.case-1.14/
|
1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector
|
In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection—Subtask 2 of Shared task 3 at CASE 2022. The shared task aims to extract the cause, effect, and signal spans from a given causal sentence.We model the task as a reading comprehension (RC) problem and apply a token-level RC-based span prediction paradigm to the task as the baseline.We explore different training objectives to fine-tune the model, as well as data augmentation (DA) tricks based on the language model (LM) for performance improvement.Additionally, we propose an efficient beam-search post-processing strategy to due with the drawbacks of span detection to obtain a further performance gain.Our approach achieves an average $F_1$ score of 54.15 and ranks {textbf{$1ˆ{st}$} in the CASE competition. Our code is available at {url{https://github.com/Gzhang-umich/1CademyTeamOfCASE}.
|
[
"Event Extraction",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
31,
24,
3
] |
https://aclanthology.org//2022.case-1.13/
|
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
|
This paper details our participation in the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) workshop @ EMNLP 2022, where we take part in Subtask 1 of Shared Task 3 {citep{tan-etal-2022-event}. We approach the given task of event causality detection by proposing a self-training pipeline that follows a teacher-student classifier method. More specifically, we initially train a teacher model on the true, original task data, and use that teacher model to self-label data to be used in the training of a separate student model for the final task prediction. We test how restricting the number of positive or negative self-labeled examples in the self-training process affects classification performance. Our final results show that using self-training produces a comprehensive performance improvement across all models and self-labeled training sets tested within the task of event causality sequence classification. On top of that, we find that self-training performance did not diminish even when restricting either positive/negative examples used in training.Our code is be publicly available at {hyperlink{https://github.com/Gzhang-umich/1CademyTeamOfCASE}{https://github.com/Gzhang-umich/1CademyTeamOfCASE}.
|
[
"Event Extraction",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
31,
24,
36,
3
] |
http://arxiv.org/abs/2206.03702v1
|
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
|
This paper describes our system for the SemEval2022 task of matching dictionary glosses to word embeddings. We focus on the Reverse Dictionary Track of the competition, which maps multilingual glosses to reconstructed vector representations. More specifically, models convert the input of sentences to three types of embeddings: SGNS, Char, and Electra. We propose several experiments for applying neural network cells, general multilingual and multitask structures, and language-agnostic tricks to the task. We also provide comparisons over different types of word embeddings and ablation studies to suggest helpful strategies. Our initial transformer-based model achieves relatively low performance. However, trials on different retokenization methodologies indicate improved performance. Our proposed Elmobased monolingual model achieves the highest outcome, and its multitask, and multilingual varieties show competitive results as well.
|
[
"Multilinguality",
"Semantic Text Processing",
"Representation Learning"
] |
[
0,
72,
12
] |
SCOPUS_ID:85099068546
|
1sg and 1pl morphemes in Hungarian
|
Hungarian 1sg -m and 1pl -unk/-ünk clearly show that these endings go back to personal pronouns, at least for speakers who are at least mildly familiar with the history of Hungarian. What has been a puzzle within Hungarian historical linguistics, however, are the origins of 1sg -k and 1pl -(j)uk/-(j)ük. The author reviews some attempts at solving these puzzles in the course of previous research, pointing out their weaknesses and fallacies; the morals he draws from them and his knowledge of Uralic languages make it possible for him to formulate and argue for the results detailed in the paragraphs to follow. The Hungarian conjugational categories are interrelated in a rather complex manner: (1) definite conjugation → indefinite conjugation; (2) within indefinite conjugation: Subjective conjugation → medial (or -ik) conjugation The use of the personal endings studied in this paper are distributed across these conjugational paradigms, hence in clarifying their history, one has to pay attention to these categories as well. Clarifying the background of 1sg -k is the toughest nut to crack of all personal endings of Hungarian, yet it finally gave in; the key was that 3sg -ik of the medial conjugation is a complex of the former participial suffix -i and the enhancer -k, together becoming the functional vehicle of mediality. With the full development of the medial conjugation, the emergence of the most frequently used personal endings, that is, the 2sg and especially 1sg verb forms, was inevitable. What turned into the ending of 2sg was -l, one of the threefold descendants of the 2sg personal pronoun (PU/PFU-t- > > H -d, -l, -sz); whereas 1sg acquired its -k, coming from the former enhancer, by association with -ik, the exponent of mediality in 3sg. The detection of the pronominal origin of both 1sg -k and 1pl -(j)uk/-(j)ük became possible by ferreting out, in view of data from related languages, a number of facts and events of historical phonology, historical morphology, and morphosyntax.
|
[
"Phonology",
"Syntactic Text Processing"
] |
[
6,
15
] |
SCOPUS_ID:85034588013
|
1st Annual Symposium on Theoretical Aspects of Computer Science, STACS 1985
|
The proceedings contain 30 papers. The special focus in this conference is on Theoretical Aspects of Computer Science. The topics include: Locally synchronous complexity in the light of the trans-box method; a new definition of morphism on petri nets; blocage et vivacité dans les réseaux a pile-file; denotational semantics of concurrent programs with shared memory; higher order data structures- cartesian closure versus λ-calculus; computability in higher types and the universal domain pω; on the structure of polynomial time degrees; optimal layouts of the tree of meshes with vertices on the perimeter of the bounding convex region; some recent results on squarefree words; efficient simulations among several models of parallel computers; bornes inferieures sur la complexite des facteurs des mots infinis engendres par morphismes iteres; Adherence equivalence is decidable for DOL languages; pusdown space complexity and related full-A.F.L.S; automates a pile sur des alphabets infinis; logic programs and many-valued logic; algebre de machines et logique temporelle; algebraic and topological theory of languages and computation: Part I: Theorems for arbitrary languages generalizing the theorems of Eilenberg, Kleene, Schützenberger and straubing; a property of three-element codes; polynomial time inference of general pattern languages; transformations realizing fairness assumptions for parallel programs; on extendibility of unavoidable sets; computing the largest empty rectangle; approximation schemes for covering and packing problems in robotics and vlsi; covering polygons with minimum number of rectangles christos levcopoulos; on expressive interpretations of a hoare-logic for clarke’s language L4; towards executable specifications using conditional axioms.
|
[
"Programming Languages in NLP",
"Multimodality",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
55,
74,
48,
57
] |
SCOPUS_ID:84942693215
|
1st Asia-Pacific Conference on Web Intelligence: Research and Development, WI 2001
|
The proceedings contain 80 papers. The special focus in this conference is on Web Information System Environment, Web Human-Media Engineering, Web Information Management and Web Information Retrieval. The topics include: From computational intelligence to web intelligence; foundation of the next generation knowledge processing; social networks on the web and in the enterprise; 3D object recognition and visualization on the web; a web proxy cache coherency and replacement approach; a rough set-aided system for sorting www bookmarks; a new measure of distance on the world wide web; autonomy oriented load balancing in proxy cache servers; on axiomatizing probabilistic conditional independencies in Bayesian networks; dynamic expert group models for recommender systems; sufficient conditions for well-behaved adaptive hypermedia systems; towards formal specification of client-server interactions for a wide range of internet applications; collecting, visualizing and exchanging personal interests and experiences in communities; intelligent interfaces for distributed web-based product and service configuration; personalized web knowledge management; online handwritten signature verification for electronic commerce over the internet; conference information management system; a new conceptual graph generated algorithm for semi-structured databases; a 3-dimensional graphic information retrieval system; automatic web-page classification by using machine learning methods; a fast image-gathering system on the world-wide web using a pc cluster; construction of a fuzzy multilingual thesaurus and its application to cross-lingual text retrieval and the development and evaluation of an integrated imagery access engine.
|
[
"Visual Data in NLP",
"Multimodality",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multilinguality"
] |
[
20,
74,
19,
24,
0
] |
SCOPUS_ID:84949775592
|
1st International Conference on Logical Aspects of Computational Linguistics, LACL 1996
|
The proceedings contain 22 papers. The special focus in this conference is on Logical Aspects of Computational Linguistics. The topics include: Logical aspects of computational linguistics; partial proof trees, resource sensitive logics, and syntactic constraints; inessential features; linear logic as logic programming; derivational minimalism; tree adjoining grammars in non-commutative linear logic; constructing different phonological bracketings from a proof net; vagueness and type theory; a natural language explanation for formal proofs; models for polymorphic lambek calculus; sloppy identity; a family of decidable feature logics which support HPSG-style set and list constructions; a procedural perspective; the automatic deduction of classificatory systems from linguistic theories; a belief-centered treatment of pragmatic presupposition; connected sets of types and categorial consequence; generation as deduction on labelled proof nets; semilinearity as a syntactic invariant; quantitative constraint logic programming for weighted grammar applications; pomset logic and variants in natural languages; constraint logic programming for computational linguistics; representation theorems for residuated groupoids.
|
[
"Programming Languages in NLP",
"Linguistic Theories",
"Syntactic Text Processing",
"Linguistics & Cognitive NLP",
"Reasoning",
"Multimodality"
] |
[
55,
57,
15,
48,
8,
74
] |
SCOPUS_ID:85105910291
|
1st International Conference on Machine Learning, Internet of Things and Big Data, ICMIB 2020
|
The proceedings contain 49 papers. The special focus in this conference is on Machine Learning, Internet of Things and Big Data. The topics include: Multi-agent System of Autonomous Underwater Vehicles in Octagon Formation; fuzzy Q-Reinforcement Learning-Based Energy Optimization in IoT Network; A Circumstantial Methodological Analysis of Recent Studies on NLP-driven Test Automation Approaches; plant Disease Recognition from Leaf Images Using Convolutional Neural Network; Optimum Design of Profile Modified Spur Gear Using PSO; benchmark of Unsupervised Machine Learning Algorithms for Condition Monitoring; Investigation of the Efficiency for Fuzzy Logic-Based MPPT Algorithm Dedicated for Standalone Low-Cost PV Systems; distributed Channel Assignment in Cognitive-Radio Enabled Internet of Vehicles; Low-Cost Smart Solar DC Nano-Grid for Isolated Rural Electrification: Cyber-Physical System Design and Implementation; load Reduction Using Temporal Modeling and Prediction in Periodic Sensor Networks; Direct Torque Control of Mathematically Modeled Induction Motor Drive Using PI-Type-I Fuzzy Logic Controller and Sliding Mode Controller; measuring the Performance of a Model Semantic Knowledge-Base for Automation of Commonsense Reasoning; COVID-19 Detection and Prediction Using Chest X-Ray Images; automated Precision Irrigation System Using Machine Learning and IoT; UHWSF: Univariate Holt Winter’s Based Store Sales Forecasting; a Nature-Inspired-Based Multi-objective Service Placement in Fog Computing Environment; advanced Binary Matrix-Based Frequent Pattern Mining Algorithm; sentiment Analysis Using Semi Supervised Machine Learning Technique; unconstrained Optimization Technique in Wireless Sensor Network for Energy Efficient Clustering; Global Path Optimization of Humanoid NAO in Static Environment Using Prim’s Algorithm; a Smartphone App Based Model for Classification of Users and Reviews (A Case Study for Tourism Application).
|
[
"Visual Data in NLP",
"Commonsense Reasoning",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Reasoning",
"Multimodality"
] |
[
20,
62,
68,
4,
8,
74
] |
SCOPUS_ID:84945562126
|
1st NSF/NIJ Symposium on Intelligence and Security Informatics, ISI 2003
|
The proceedings contain 40 papers. The special focus in this conference is on Data Management, Mining, Deception Detection, Analytical Techniques and Visualization. The topics include: Using support vector machines for terrorism information extraction; criminal incident data association using the OLAP technology; authorship analysis in cybercrime investigation; detecting deception through linguistic analysis; a longitudinal analysis of language behavior of deception in e-mail; a capacity constrained routing approach; locating hidden groups in communication networks using hidden Markov models; automatic construction of cross-lingual networks of concepts from the Hong Kong SAR police department; using domain knowledge to facilitate automated crime association analysis; a spatio temporal visualizer for law enforcement; tracking hidden groups using communications; examining technology acceptance by individual law enforcement officers; addressing the homeland security problem; collaborative workflow management for interagency crime analysis; an architecture for information monitoring and sharing in law enforcement; active database systems for monitoring and surveillance; bioterrorism surveillance with real-time data warehousing; privacy sensitive distributed data mining from multi-party data; biographical descriptions for intelligence analysis; scalable knowledge extraction from legacy sources with seek; a learner-centered, web-based training system for deception detection; an e-mail monitoring system for detecting outflow of confidential documents; intelligence and security informatics; an international perspective on fighting cybercrime; hiding traversal of tree structured data from untrusted data stores; criminal record matching based on the vector space model and semantic hacking and intelligence and security informatics.
|
[
"Multilinguality",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
19,
3
] |
https://aclanthology.org//W00-1000/
|
1st SIGdial Workshop on Discourse and Dialogue
|
[
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] |
[
11,
38
] |
|
SCOPUS_ID:85122967538
|
1st Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects, VarDial 2014 at the 25th International Conference on Computational Linguistics: System Demonstrations, COLING 2014 - Proceedings
|
The proceedings contain 18 papers. The topics discussed include: corpus-based study and identification of mandarin Chinese light verb variations; diachronic proximity vs. data sparsity in cross-lingual parser projection. a case study on Germanic; pos-tagging different varieties of Occitan with single-dialect resources; unsupervised adaptation of supervised part-of-speech taggers for closely related languages; morphological disambiguation and text normalization for southern Quechua varieties; employing phonetic speech recognition for language and dialect specific search; part-of-speech tag disambiguation by cross-linguistic majority vote; compilation of a Swiss German dialect corpus and its application to PoS tagging; and automatically building a Tunisian lexicon for deverbal nouns.
|
[
"Tagging",
"Cross-Lingual Transfer",
"Syntactic Text Processing",
"Multilinguality"
] |
[
63,
19,
15,
0
] |
SCOPUS_ID:84906217544
|
2 ω-finite automata and sets of obstructions of their languages
|
Nondeterministic finite Rabin-Scott's automata without initial and final states (2 ω-FA) are considered. In this paper, they are used to define so called sets of obstructions, used also in various algebraic systems, and to consider similar problems for the formal languages theory. Thus, we define sets of obstructions of languages (or, rather, 2ω-languages) of such automata. We obtain that each 2ω-language defined by 2 ω-FA has the set of obstruction being a regular language. And, vice versa, for each regular language L (containing no proper subword of its another word), there exists a 2 ω-FA having L as the set of obstructions. © 1999 Korean Society for Computational & Applied Mathematics and Korean SIGCOAM.
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
SCOPUS_ID:85071101912
|
2-cut splicing and 4-cut splicing on DNA molecule
|
Graph has many applications both in mathematics and various other disciplines especially to describe model problem. Graph can be used to describe the process of splicing system in DNA molecule. Splicing system is a mathematical model of the system in the action of restriction enzyme in DNA molecule. Splicing language is a language constructed by splicing system. In this paper we discussed about 2 cut splicing and 4 cut splicing on DNA molecule. It had been recognized that at the time of splicing, the graph takes the semi graph structure and it generates the words which leads to the Parikh concepts. Since a DNA which consist of (A, C,G,T) can be seen as a word, thus the modelling can be done within the framework of formal language theory. After the splicing process, the main element of the DNA molecule is mapped into the binary alphabet (a,b). The language formed from the binary alphabet is mapped into a matrix form.
|
[
"Linguistic Theories",
"Structured Data in NLP",
"Linguistics & Cognitive NLP",
"Reasoning",
"Numerical Reasoning",
"Multimodality"
] |
[
57,
50,
48,
8,
5,
74
] |
SCOPUS_ID:85040814274
|
2-step word alignment framework for Thai-English statistical machine translation
|
This paper presents a framework of a new word alignment process for SMT and the translation table improvement method with bilingual dictionary that was the lexical probabilistic tuning methodology for translation table in SMT. First, the alignment method was designed to include the quality of using dictionary as prior knowledge and the ability of co-occurrence to fill unknown words. By testing the proposed framework against the renowned GIZA, we applied an alignment model from both systems to Moses for proving its usefulness in a practical hierarchical phrase-based translation usage and exploited a BLEU score as a measurement. The case study in this work focused on Thai to English translation. The testing results showed the proposed method can overrun the result of GIZA IBM model-4 by 2.09 BLEU points.
|
[
"Machine Translation",
"Structured Data in NLP",
"Multimodality",
"Text Generation",
"Multilinguality"
] |
[
51,
50,
74,
47,
0
] |
SCOPUS_ID:0141917525
|
2003 AAAI Spring Symposium Series
|
The American Association for Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2003 Spring Sympoisum Series. The titles of the symposia includes agent-mediated knowledge management, computational synthesis, foundations and applications of spatiotemporal reasoning and natural language generation in spoken and written dialogue. It was suggested that commonsense reasoning was required in a wide variety of systems from autonomous lawn mowers to deep-space probes.
|
[
"Commonsense Reasoning",
"Reasoning"
] |
[
62,
8
] |
SCOPUS_ID:84897369325
|
2006 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2006
|
The proceedings contain 142 papers. The topics discussed include: shadow and highlight invariant color segmentation algorithm for traffic signs; a neural network based adaptive autopilot for marine applications; extrapolative model of DGPS corrections using a multilayered neural network based on the extended kalman filter; determining optimal polling frequency using a learning automata-based solution to the fractional knapsack problem; genetic algorithm with species and sexual selection; power-aware data management for mobile devices; lyapunov-based genetic algorithm controlled linear piezoelectric ceramic motor drive; a fuzzy multiple criteria decision making method; adaptive language independent spell checking using intelligent traverse on a tree; an obstacle avoidance strategy to ant colony optimization algorithm for classification in event logs; analysis of state transition diagrams for RFID-based two-way access control; and simulation and experiment study of neural network PID controller in central air-conditioning system.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:72549092882
|
2009 International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2009
|
The proceedings contain 96 papers. The topics discussed include: study on similarity of simple questions based on the catering field; a conditional mutual information based selectional association and word sense disambiguation; machine translation model using inductive logic programming; using genetic algorithm for Persian grammar induction; Parsumist: a Persian text summarizer; a feature-enhanced smoothing method for LDA model applied to text classification; managing the Google Web 1T 5-gram data set; extending WordNet with compound nouns for semi-automatic annotation in data integration systems; a method for stemming and eliminating common words for Persian text summarization; integrating divergent models for gene mention tagging; recognizing sentence emotions based on polynomial kernel method using Ren-CECps; the picture superiority effect in encoding and retrieval processes during Japanese learning for Chinese bilinguals; and simple linguistic processing effect on multi-label emotion classification.
|
[
"Text Error Correction",
"Text Classification",
"Syntactic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
26,
36,
15,
24,
3
] |
https://aclanthology.org//W10-1705/
|
2010 Failures in English-Czech Phrase-Based MT
|
[
"Machine Translation",
"Text Generation",
"Multilinguality"
] |
[
51,
47,
0
] |
|
SCOPUS_ID:79959848791
|
2010, a speech oddity: Phonetic transcription of reversed speech
|
Time reversal is often used in experimental studies on language perception and understanding, but little is known on its precise impact on speech sounds. Strikingly, some studies consider reversed speech chunks as "speech" stimuli lacking lexical information while others use them as "non speech" control conditions. The phonetic perception of reversed speech has not been thoroughly studied so far, and only impressionistic evaluation has been proposed. To fill this gap, we give here the results of a phonetic transcription task of time-reversed French pseudo-words by 4 expert phoneticians. Results show that for most phonemes (except unvoiced stops), several phonetic features are preserved by time reversal, leading to rather accurate transcriptions of reversed words. Other phenomena are also investigated, such as the emergence of epenthetic segments, and discussed with insight from the neurocognitive bases of the perception of time-varying sounds. © 2010 ISCA.
|
[
"Phonetics",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality"
] |
[
64,
70,
15,
74
] |
SCOPUS_ID:84866684701
|
2012 10th International Workshop on Content-Based Multimedia Indexing, CBMI 2012
|
The proceedings contain 41 papers. The topics discussed include: similarity search in high dimensional spaces: application to multimedia; human action recognition: the challenges and recent progress; multimedia analytics: exploration of large multimedia collections; toward plot de-interlacing in TV series using scenes clustering; fitting Gaussian copulae for efficient visual codebooks generation; comparing segmentation strategies for efficient video passage retrieval; detecting politician speech in TV broadcast news shows; animated movie genre detection based on a symbolic fusion between text and image modalities; insertion of tags in urban scenes in real time on smartphone; automatic difference measure between movies using dissimilarity measure fusion and rank correlation coefficients; an improved algorithm on Viola-Jones object detector; and a generative model for concurrent image retrieval and ROI segmentation.
|
[
"Visual Data in NLP",
"Multimodality",
"Passage Retrieval",
"Responsible & Trustworthy NLP",
"Indexing",
"Information Retrieval",
"Green & Sustainable NLP"
] |
[
20,
74,
66,
4,
69,
24,
68
] |
SCOPUS_ID:84883370154
|
2012 presidential elections on twitter - An analysis of how the us and french election were reflected in tweets
|
The main objective of this paper is to compare the sentiments that prevailed before and after the presidential elections, held in both US and France in the year 2012. To achieve this objective we extracted the content information from a social medium such as Twitter and used the tweets from electoral candidates and the public users (voters), collected by means of crawling during the course of election. In order to gain useful insights about the US elections, we scored the sentiments for each tweet using different metrics and performed a time series analysis for candidates and different topics (identified by specific keywords). In addition to this, we compared some of our insights obtained from the US election with what we have observed for the French election. This deep dive analysis was done in order to understand the inherent nature of elections and to bring out the influence of social media on elections. © 2013 IEEE.
|
[
"Sentiment Analysis"
] |
[
78
] |
SCOPUS_ID:84892722651
|
2014 4th International Conference on Mechanical Science and Engineering, ICMSE 2014
|
The proceedings contain 198 papers. The special focus in this conference is on Advanced Research in Intelligent Equipment Manufacturing. The topics include: Optimization design on the performance of the shaper; modeling and dynamic research of the pneumatic-hydraulic loading simulator system; test and numerical analysis of natural frequency for tube; wind turbine gearbox transmission chain forced vibration analysis exerted by random actuator; vibration characteristics analysis of large dismountable out-moving jaw crusher; excitation order research in bladed-disk coupling resonance condition; driving intention based optimal shift control for automatic transmission; dispersion curves calculation for guided waves in rod by modal analysis; dynamic characteristics analysis for seismic vibrator; finite element research on damping of viscoelastic free layer damping sheet; coupling vibration of tapered rod; resonance reliability analysis of aeroengine compressor rotor blade; present status of damping test techniques for magnesium alloys; parameter sensitivity analysis of gear contact in gear-bearing-rotor system based on romax; investigation of crack line offset of fracture splitting connecting rod; near-field noise prediction for landing gear based on detached eddy simulations; fatigue life analysis of auger stem in soft coal seam; research on walking principle of a worm pipe robot; a new way to simulate the fluid structure interaction between the bioprosthetic heart valve and blood; based on ANSYS large diameter metallic high-speed rotating disk modal analysis; the numerical investigation of cracking areas under nonuniform settlements of the construction; simulation and control of a duopoly model; topological optimization for damping structure of cylindrical shell based on DIMFM; development of double-axis double-rest CNC machining center; construction of computer controlled bioreactor; study on detection method for crack in eggs based on computer vision and support vector machine neural network; genetic algorithm-based optimization of steam consumption of dryer section in paper machine; control characteristics analysis of split-drag-rudder; a study on the output characteristic of photovoltaic array under partially shaded conditions; permormance analysis of distribution system with distributed generation, a case study of Nepal; experimental research on direct evaporative cooling of stainless steel filler; design of dynamic vehicle navigation terminal based on GPS/GPRS; key technologies research of MEMS pressure sensor for fuze; thermal effect of dual-function solar collector on building in autumn; multi-stage cascaded quasi Z-source inverter system for renewable energy applications; numerical and experiment study on new types of Magnus blade; heat storage performance analysis of solar chimney power plant system; research on the heat transfer characteristics of receiver in designed solar direct steam generation system; design of a small wind turbine to generate electricity in urban and rural areas; energy and distribution analysis on engine bench; three-ring gear reducer internal tooth plate processing method in the research and analysis; comparing sliding-mode control and PID approaches for vehicle stability control; research on drive mode for an independent eight in-wheel motor drive vehicle; study on a novel excitation coil used in electromagnetic anti-wax apparatus; a novel control strategy of active power filter; performance and affection analysis on cooling module in the vehicle working conditions; study on adaptive distance relay to prevent cascading trips in complex power grid; studies on the acoustic characteristics of the Hartmann acoustic generator; interference detection for the stationary internal toroidal gear machining; application of mechanical energy storage in micro-fluid turbine design; verification of control system by physical simulation; research on the detail design of aircraft wings; based on vibration and improved GRNN identify eggshell crack; study of establishment and operation of salt-gradient solar pond; irradiance and temperature dependence characterization of vacuum glass BIPV modules; AR technology and its application in biomedical engineering; utilization of quantization method on credit risk assessment; seven factors in evaluating recommender system; a synthesis algorithm of beam-forming for antenna pattern; an approach to group making problems based on two-tuple linguistic theory; the analysis of the evolution of the supply chain and the corresponding supply chain contract model; two-dimensional structural topology optimization based on isogeometric analysis; studies on estimation accuracy of point estimation in up-and-down method; uncertainty reasoning problem research based on the expert system of production plan; X-ray testing of weld defect of automatic recognit ion and alarm technology research; rapid design of powertrain in wheeled combine harvester chassis based on knowledge; two sharp perturbed midpoint inequalities; prediction of the fatigue life for large wind turbine gearbox; artificial immune systems applied to the analysis of structural integrity of a building; a novel three-dimensional cellular automaton evacuation model; preliminary study on mine safety audit evaluation index system; the influence of evacuation signs on evacuation for bad visibility; electrochemical performance of hard carbon as negative electrode in lithium ion capacitor; associative behaviors of a novel series of amphiphilic statistical tripolymers; characteristics of microstructure and microhardness of friction stir welded joints for AZ31 magnesium alloy; application of cationic cassava dregs as a retention and drainage aid in wet-end system; deep removal of methyl mercaptan in biogas; study on the creep properties of resin concrete; a hydrothermal factor calculating approach based on FEM for fiber-reinforced composites; new approach to synthesis of CuO/CeO2 catalysts for preferential CO oxidation; prediction of residual stress induced distortions in micro-milling of Al7050 thin plate; taguchi optimization to determine optimal denier of the polyester fibre; finite element method analysis for marine semi-built-up crankshaft shrinkage fitting; pump ability of concrete mixture improvement based on rich mortar theory testing method; homogeneous in distribution of InGaN/GaN quantum wells in high performance GaN based light-emitting devices; fabrication high aspect ratio nanometer holes on the alumina based on self-organization technology; generalized theory of thermo-acoustic emission from nanocrystalline porous silicon; preparation and photocatalytic activity of titanium dioxide-cuprous oxide heterostructure on graphene; study of MEMS based micropyrotechnic igniter; constituent characteristic and biomedical potentials of organic essential oils from leaves of four eucalyptus cultivars in china; influence of complex plasticizers containing urea and triethanolamin on the characteristics of SPI/PVA films; optimizing experimental variables to enhance the biodegradability of polylactic acid; analysis on key points of cultivation techniques for medicinal flower and fruit plants; assessment of embodied carbon emissions within the trade between china and main trade partners; study on power generation expansion planning model based on CO2 emission reduction; the strontium isotopic chemical analysis of geothermal water in Guihu, Fuzhou; the research on synthetic method of starch/lactic acid graft copolymer catalyzed with sulfuric acid; solidification of greenhouse gas carbon dioxide; study on by-product synergy and eco-industrial parks in china based on American experience; dynamic analysis and prediction of ecological footprint in Jilin province of china based on grey prediction model; marine SCR technology's development and prospects; discussion on ship exhaust gas washing desulfurization technology; catalytic pyrolysis of bamboo residues for composite biochar and bamboo oil; a wind farm capacity credibility calculation method based on parabola; multiple time-scale collaborative optimal dispatch methods for electric vehicles and wind power; tolerance optimization for assembly systems based on quality requirements using state space model; a study of process rebuilding of asset life cycle management in power grid enterprises based on MIMS diagnosis model; the study on electricity price linkage in the market including energy storage station in demand side; energy efficiency evaluation for steam turbine and auxiliary system; fuzzy comprehensive evaluation on energy-efficiency of plant boiler based on exergy analysis; optimization of unidirectional material handling system with short-cut; the study of an economic hybrid TCSC structure; dynamic analysis on energy-saving effect of distributed cooling system in TBS; thermodynamic analysis of minimum extraction ratio for coal-fired CHP plants; an portfolio optimal attainability under transaction costs; empirical study on the effect of investment on employment; a comprehensive evaluation approach for machining operation based on fuzzy AHP; a blackboard-based architecture for modular product design; the relief modeling and processing based on ArtCAM; research of two-tuple linguistic in process of maintenance on risk evaluation for naval vessel and functions of public service in the sustainable development of regional economy.
|
[
"Responsible & Trustworthy NLP",
"Linguistic Theories",
"Linguistics & Cognitive NLP",
"Green & Sustainable NLP"
] |
[
4,
57,
48,
68
] |
SCOPUS_ID:85110411009
|
2014-What grammar for EAP/ESP students? From language teaching to discourse learning? From the acquisition of verbal interaction
|
This paper aims at paving the way for landmarks concerning the relation between grammar and EAP/ESP students. We shall argue that what must be acquired is the ability to interact, to argue, to consider value systems and their representations; in other words, we shift from language and/ or grammar teaching to discourse acquisition. How can such acquisition be favoured? The first step consists in analysing authentic debates so as to determine what strategies native speakers adopt to handle the rules and constraints inherent to the genre. The second step consists in trying to make learners aware of such culturally-bound argumentation strategies. What tasks may be set up to favour the acquisition and/or (re)-production of such strategies? Such is the question that this paper addresses. More broadly this paper raises the question of the contribution of discourse analysis to the acquisition of language capacities in keeping with social interaction in today s contemporary world.
|
[
"Discourse & Pragmatics",
"Semantic Text Processing"
] |
[
71,
72
] |
SCOPUS_ID:84963622506
|
2015 2nd International Conference on Computer Science, Computer Engineering, and Social Media, CSCESM 2015
|
The proceedings contain 38 papers. The topics discussed include: social media guidelines for maritime transport crises situations in the EU area; modeling communicational and informational content in facebook with context specific methods; the usage of social media in crisis communication; grammatical inference for the construction of opening books; a study on facility maintenance information composition and sophisticated technology utilization measures; automated color image arrangement method for multiple-peak image; how a real-time video solution can affect to the level of preparedness in situation centers; fun academic cloud computing: a framework to learn and play using cloud computing; and social testing: a framework to support adoption of continuous delivery by small medium enterprises.
|
[
"Visual Data in NLP",
"Text Error Correction",
"Syntactic Text Processing",
"Multimodality"
] |
[
20,
26,
15,
74
] |
SCOPUS_ID:85125631456
|
2021 15th International Conference on Open Source Systems and Technologies, ICOSST 2021 - Proceedings
|
The proceedings contain 21 papers. The topics discussed include: investigating cross-lingual transfer learning techniques for Urdu text using word embeddings; detection of freezing of gait in Parkinson’s disease by squeeze-and-excitation convolutional neural network with wearable sensors; 12-bit sigma-delta modulator for biomedical wireless applications; survival prediction of lung cancer patients by integration of clinical and molecular features using machine learning; an efficient rating system for players based on their position statistics; a trust model for multi-hop 5G networks: a reinforcement learning approach; Celsius tracker: a mobile application to ease movement control order procedure during COVID-19 pandemic; and an analysis of the factors affecting cybercrime against individuals in Pakistan.
|
[
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
19,
0
] |
SCOPUS_ID:85125173929
|
2021 International Conference on Asian Language Processing, IALP 2021
|
The proceedings contain 72 papers. The topics discussed include: an exploratory study to extract analogies from Arabic text; deep -learning -based cross -modal luxury microblogs retrieval; ancient Tibetan word segmentation based on deep learning; multi-granularity interaction fusion for neural answer source selection; influence of syntactic structures on the acquisition of Wh-questions: in the case of Tianjin English learners; automatic generation of multiple-choice cloze-test questions for lao language learning; EA-MLM: error-aware masked language modeling for grammatical error correction; and joint model of triple relation extraction with label embeddings.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:85119273617
|
2021 International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2021 - Proceedings
|
The proceedings contain 24 papers. The topics discussed include: a robust framework for mathematical formula detection; an improved spiking network conversion for image classification; exploring zero-shot cross-lingual aspect-based sentiment analysis using pre-trained multilingual language models; data hiding in bit-plane medical image using chaos-based steganography; visual-guided audio source separation: an empirical study; a review of SNN implementation on FPGA; boundary delineation of reflux esophagitis lesions from endoscopic images using color and texture; and a deep learning based fracture detection in arm bone x-ray images.
|
[
"Multilinguality",
"Visual Data in NLP",
"Cross-Lingual Transfer",
"Multimodality"
] |
[
0,
20,
19,
74
] |
SCOPUS_ID:85147778409
|
2022 17th Latin American Conference on Learning Technologies, LACLO 2022
|
The proceedings contain 37 papers. The topics discussed include: technological project in the development of computational thinking and problem-solving; technological tool to assess computational thinking; open data management of research in education: knowledge and practices in LATAM; accessibility evaluation of learning object repositories; designing children-oriented educational interfaces: proposal of a new interface for Moodle; an analysis of learning platforms based on their academic assessment instruments; comics as a pedagogical tool for teaching; a taxonomy proposal of cyber threats involving children and adolescents; (re) learning fine motor hand movements with serious games; a hybrid application for prisoner's dilemma game; reinforcement learning for estimating student proficiency in math word problems; and learning analytics to support the provision of feedback in higher education: a systematic literature review.
|
[
"Reasoning",
"Numerical Reasoning"
] |
[
8,
5
] |
SCOPUS_ID:85137666873
|
2022 Challenges and Perspectives in Creating Large Language Models, Proceedings of the Workshop
|
The proceedings contain 12 papers. The topics discussed include: lifelong pretraining: continually adapting language models to emerging corpora; using ASR-generated text for spoken language modeling; you reap what you sow: on the challenges of bias evaluation under multilingual settings; diverse lottery tickets boost ensemble from a single pretrained model; UNIREX: a unified learning framework for language model rationale extraction; pipelines for social bias testing of large language models; entities, dates, and languages: zero-shot on historical texts with t0; a holistic assessment of the carbon footprint of Noor, a very large Arabic language model; GPT-NeoX-20B: an open-source autoregressive language model; dataset debt in biomedical language modeling; emergent structures and training dynamics in large language models; and foundation models of scientific knowledge for chemistry: opportunities, challenges and lessons learned.
|
[
"Language Models",
"Semantic Text Processing"
] |
[
52,
72
] |
SCOPUS_ID:85143977542
|
2022 International Conference on Asian Language Processing, IALP 2022
|
The proceedings contain 85 papers. The topics discussed include: distant supervision for Chinese semantic role labeling; a self- reliant finite automata for reduplication detection; theft or felony? task augmentation for criminal amount calculation in judgment documents; research on multi-feature expert disambiguation of same name fused personal experience; the construction of the semantic collocation database of verb-complement structure in modern Chinese based on a large-scale Chinese Chunkbank; improving sentiment analysis by emotion lexicon approach on Vietnamese texts; distillation language adversarial network for cross-lingual sentiment analysis; emoji prediction from Arabic sentence; is twitter an echo chamber? connecting online public sentiments to actual results from the 2019 Philippine midterm elections; and aspect-based sentiment analysis with dependency relation graph convolutional network.
|
[
"Multilinguality",
"Cross-Lingual Transfer",
"Sentiment Analysis"
] |
[
0,
19,
78
] |
SCOPUS_ID:85087310312
|
20th International Conference on Computational Science, ICCS 2020
|
The proceedings contain 349 papers. The special focus in this conference is on Computational Science. The topics include: From generality to specificity: On matter of scale in social media topic communities; hybrid text feature modeling for disease group prediction using unstructured physician notes; early signs of critical slowing down in heart surface electrograms of ventricular fibrillation victims; a comparison of generalized stochastic milevsky-promislov mortality models with continuous non-gaussian filters; ontology-based inference for supporting clinical decisions in mental health; towards prediction of heart arrhythmia onset using machine learning; stroke icu patient mortality day prediction; application of the stochastic gradient method in the construction of the main components of pca in the task diagnosis of multiple sclerosis in children; universal measure for medical image quality evaluation based on gradient approach; constructing holistic patient flow simulation using system approach; investigating coordination of hospital departments in delivering healthcare for acute coronary syndrome patients using data-driven network analysis; a machine learning approach to short-term body weight prediction in a dietary intervention program; an analysis of demographic data in irish healthcare domain to support semantic uplift; from population to subject-specific reference intervals; analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence; the atrial fibrillation risk score for hyperthyroidism patients; applicability of machine learning methods to multi-label medical text classification; machine learning approach for the early prediction of the risk of overweight and obesity in young people; grammatical inference by answer set programming; risk-based aed placement - singapore case; preface.
|
[
"Language Models",
"Text Error Correction",
"Programming Languages in NLP",
"Semantic Text Processing",
"Syntactic Text Processing",
"Multimodality"
] |
[
52,
26,
55,
72,
15,
74
] |
SCOPUS_ID:84979261563
|
20th International Conference on Developments in Language Theory, DLT 2016
|
The proceedings contain 32 papers. The special focus in this conference is on Developments in Language Theory. The topics include: Context-free ambiguity detection using multi-stack pushdown automata; complementation of branching automata for scattered and countable series-parallel posets; cayley automatic groups and numerical characteristics of Turing transducers; a perfect class of context-sensitive timed languages; position automaton construction for regular expressions with intersection; a language-theoretical approach to descriptive complexity; an automata characterisation for multiple context-free languages; weighted automata and logics on infinite graphs; degrees of infinite words, polynomials and atoms; ternary square-free partial words with many wildcards; alternating demon space is closed under complement and other simulations for sublogarithmic space; weighted symbolic automata with data storage; on families of full trios containing counter machine languages; non-regular maximal prefix-free subsets of regular languages; the trace monoids in the queue monoid and in the direct product of two free monoids; compositions of tree-to-tree statistical machine translation models; on the solvability problem for restricted classes of word equations; one-unknown word equations and three-unknown constant-free word equations; avoidability of formulas with two variables; deciding equivalence of linear tree-to-word transducers in polynomial time; on finite and polynomial ambiguity of weighted tree automata; an extremal series of eulerian synchronizing automata and monoid-based approach to the inclusion problem on superdeterministic pushdown automata.
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
SCOPUS_ID:84988012804
|
20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016
|
The proceedings contain 44 papers. The special focus in this conference is on Spatiotemporal, Image Data, Anomaly Detection, Clustering and Novel Models. The topics include: Denoising time series by way of a flexible model for phase space reconstruction; distributed sequential pattern mining in large scale uncertain databases; a deep dynamic memory model for predictive medicine; indoor positioning system for smart homes based on decision trees and passive RFID; deep feature extraction from trajectories for transportation mode estimation; online learning for accurate real-time map matching; multi-hypergraph incidence consistent sparse coding for image data clustering; robust multi-view manifold ranking for image retrieval; image representation optimization based on locally aggregated descriptors; reusing extracted knowledge in genetic programming to solve complex texture image classification problems; personal credit profiling via latent user behavior dimensions on social media; linear upper confidence bound algorithm for contextual bandit problem with piled rewards; incremental hierarchical clustering of stochastic pattern-based symbolic data; computing hierarchical summary of the data streams; unsupervised parameter estimation for one-class support vector machines; frequent pattern outlier detection without exhaustive mining; ensembles of interesting subgroups for discovering high potential employees; dynamic grouped mixture models for intermittent multivariate sensor data; a fast algorithm for DBSCAN-based clustering on high dimensional data and a rule based open information extraction method using cascaded finite-state transducer.
|
[
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Open Information Extraction",
"Text Clustering",
"Multimodality"
] |
[
20,
3,
25,
29,
74
] |
SCOPUS_ID:85047389733
|
20th century: Empirical research of body, language, and communication
|
The chapter presents a concise overview of empirical research of body, language, and communication in the 20th century. Starting from a discussion of Wundt s semiotic classification of bodily behavior (Wundt 1921) and the work of Efron (1972) on gestures as expression of cultures, the paper moves on to a discussion of empirical research on body, language, and communication in the post war period and the decline in interest within the 1950s to 1970s due to the research paradigm of nonverbal communication. After shortly discussing the work of Pike (1972) and Birdwhistell (1970), the paper then traces back the emergence of modern gesture research within the 70s and 80s and introduces the main research paradigms established, in particular within gestures studies. The paper then discusses modern day gesture research within the fields of psycholinguistics/psychology, interaction studies, linguistics, and semiotics, cognitive linguistics, conversation analysis and the ethnography (of communication) as well as the field of artificial intelligence showing that present research on body, language, and communication is a wanderer between disciplines, and first and foremost characterized by its interdisciplinary nature.
|
[
"Psycholinguistics",
"Linguistics & Cognitive NLP"
] |
[
77,
48
] |
SCOPUS_ID:84882929514
|
20th-Century Linguistics: Overview of Trends
|
The article deals with the two main theoretical trends of 20th-century linguistics: structural linguistics and generative grammar. After a short examination of some 19th-century theoretical trends, F. de Saussure's work is described. There follows a presentation of the most significant European and American structuralist schools. Then the birth and rise of generative grammar (until the so-called standard theory), as well as its impact on subsequent research, are presented. In particular, several trends stemming from the generative root and some more or less explicit alternatives to generative grammar (functionalism, sociolinguistics, and pragmatics) are discussed. © 2006 Elsevier Ltd. All rights reserved.
|
[
"Phonology",
"Syntactic Text Processing"
] |
[
6,
15
] |
SCOPUS_ID:85141758328
|
21st China National Conference on Computational Linguistics, CCL 2022
|
The proceedings contain 22 papers. The special focus in this conference is on Nonlinear Dynamics and Applications. The topics include: A Multi-Gate Encoder for Joint Entity and Relation Extraction; improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning; towards Making the Most of Pre-trained Translation Model for Quality Estimation; supervised Contrastive Learning for Cross-Lingual Transfer Learning; interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain; TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing; COMPILING: A Benchmark Dataset for Chinese Complexity Controllable Definition Generation; can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack; dynamic Negative Example Construction for Grammatical Error Correction Using Contrastive Learning; DIFM: An Effective Deep Interaction and Fusion Model for Sentence Matching; SPACL: Shared-Private Architecture Based on Contrastive Learning for Multi-domain Text Classification; low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger; fundamental Analysis Based Neural Network for Stock Movement Prediction; conIsI: A Contrastive Framework with Inter-sentence Interaction for Self-supervised Sentence Representation; data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms; EventBERT: Incorporating Event-Based Semantics for Natural Language Understanding; an Exploration of Prompt-Based Zero-Shot Relation Extraction Method; abstains from Prediction: Towards Robust Relation Extraction in Real World; using Extracted Emotion Cause to Improve Content-Relevance for Empathetic Conversation Generation; to Adapt or to Fine-Tune: A Case Study on Abstractive Summarization.
|
[
"Multilinguality",
"Language Models",
"Text Error Correction",
"Semantic Text Processing",
"Information Retrieval",
"Relation Extraction",
"Syntactic Text Processing",
"Representation Learning",
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP",
"Cross-Lingual Transfer",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
0,
52,
26,
72,
24,
75,
15,
12,
81,
4,
19,
36,
3
] |
SCOPUS_ID:84977503292
|
21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016
|
The proceedings contain 52 papers. The special focus in this conference is on Natural Language Processing and Information Systems. The topics include: A methodology for biomedical ontology reuse; Tamil morphological analyzer using support vector machines; the role of community acceptance in assessing ontology quality; using concept expansion for requirement refinement; an information gain-driven feature study for aspect-based sentiment analysis; an expert supporting system for ontology translation; adapting semantic spreading activation to entity linking in text; evaluating multiple summaries without human models; pattern oriented RDF graphs exploration; multilingual protest event data collection with gate; a multi-lingual approach to improve passage retrieval for automatic question answering; information extraction on weather forecasts with semantic technologies; keyword identification using text graphlet patterns; disentangling the structure of tables in scientific literature; extracting and representing higher order predicate relations between concepts; towards evaluating the impact of anaphora resolution on text summarisation from a human perspective; an LDA-based approach to scientific paper recommendation; semantic-syntactic word valence vectors for building a taxonomy; generating tailored classification schemas for German patents; a platform based ANLP tools for the construction of an Arabic historical dictionary; extracting knowledge using Wikipedia semi-structured resources; mixing crowdsourcing and graph propagation to build a sentiment lexicon; comparing two strategies for query expansion in a news monitoring system; an active ingredients entity recogniser system based on profiles and validating learning outcomes of an e-learning system using NLP.
|
[
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Sentiment Analysis",
"Passage Retrieval",
"Information Retrieval",
"Multimodality"
] |
[
72,
50,
18,
78,
66,
24,
74
] |
SCOPUS_ID:85026756238
|
21st International Conference on Developments in Language Theory, DLT 2017
|
The proceedings contain 28 papers. The special focus in this conference is on Developments in Language Theory. The topics include: A comprehensive introduction to the theory of word-representable graphs; binomial coefficients, valuations, and words; connecting decidability and complexity for MSO logic; on regular expression proof complexity; operational state complexity and decidability of jumping finite automata; equivalence of symbolic tree transducers; DFAs and PFAs with long shortest synchronizing word length; two-way two-tape automata; undecidability and finite automata; on the power of permitting semi-conditional grammars; differences between 2D neighborhoods according to real time computation; a Medvedev characterization of recognizable tree series; the generalized rank of trace languages; two-variable first order logic with counting quantifiers; deleting deterministic restarting automata with two windows; relative prefix distance between languages; on the tree of binary cube free words; limited automata and unary languages; a characterization of infinite LSP words; on computational complexity of set automata; on the number of rich words and classifying non-periodic sequences by permutation transducers.
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
SCOPUS_ID:85071470386
|
21st International Conference on Speech and Computer, SPECOM 2019
|
The proceedings contain 58 papers. The special focus in this conference is on Speech and Computer. The topics include: Time-continuous emotion recognition using spectrogram based CNN-RNN modelling; developmental disorders manifestation in the characteristics of the child’s voice and speech: Perceptual and acoustic study; ruslan: Russian spoken language corpus for speech synthesis; differentiating laughter types via hmm/dnn and probabilistic sampling; word discovering in low-resources languages through cross-lingual phonemes; semantic segmentation of historical documents via fully-convolutional neural network; a new approach of adaptive filtering updating for acoustic echo cancellation; code-switching language modeling with bilingual word embeddings: A case study for egyptian arabic-english; identity extraction from clusters of multi-modal observations; don’t talk to noisy drones – Acoustic interaction with unmanned aerial vehicles; a detailed analysis and improvement of feature-based named entity recognition for turkish; Method for multimodal recognition of one-handed sign language gestures through 3D convolution and LSTM neural networks; LSTM-based Kazakh speech synthesis; combination of positions and angles for hand pose estimation; LSTM-based language models for very large vocabulary continuous russian speech recognition system; svarabhakti vowel occurrence and duration in rhotic clusters in French lyric singing; the evaluation process automation of phrase and word intelligibility using speech recognition systems; detection of overlapping speech for the purposes of speaker diarization; exploring hybrid ctc/attention end-to-end speech recognition with gaussian processes; estimating aggressiveness of russian texts by means of machine learning; software subsystem analysis of prosodic signs of emotional intonation; a comparative study of classical and deep classifiers for textual addressee detection in human-human-machine conversations.
|
[
"Language Models",
"Cross-Lingual Transfer",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Text Clustering",
"Speech Recognition",
"Multilinguality"
] |
[
52,
19,
72,
3,
70,
74,
47,
29,
10,
0
] |
SCOPUS_ID:85053890709
|
21st International Conference on Text, Speech, and Dialogue, TSD 2018
|
The proceedings contain 56 papers. The special focus in this conference is on Text, Speech, and Dialogue. The topics include: Adaptation of algorithms for medical information retrieval for working on russian-language text content; CoRTE: A corpus of recognizing textual entailment data annotated for coreference and bridging relations; evaluating distributional features for multiword expression recognition; manócska: A unified verb frame database for Hungarian; improving part-of-speech tagging by meta-learning; identifying participant mentions and resolving their coreferences in legal court judgements; Building the tatar-Russian NMT system based on re-translation of multilingual data; annotated clause boundaries’ influence on parsing results; morphological aanalyzer for the tunisian dialect; leolani: A reference machine with a theory of mind for social communication; morphosyntactic disambiguation and segmentation for historical polish with graph-based conditional random fields; Do we need word sense disambiguation for LCM tagging?; Generation of arabic broken plural within LKB; czech dataset for semantic textual similarity; a dataset and a novel neural approach for optical gregg shorthand recognition; a lattice based algebraic model for verb centered constructions; annotated corpus of czech case law for reference recognition tasks; recognition of the logical structure of arabic newspaper pages; a cross-lingual approach for building multilingual sentiment lexicons; semantic question matching in data constrained environment; speech analytics for medical applications; Morphological and language-agnostic word segmentation for NMT; multi-task projected embedding for igbo; corpus annotation pipeline for non-standard texts; Recognition of OCR invoice metadata block types; automatic evaluation of synthetic speech quality by a system based on statistical analysis.
|
[
"Information Extraction & Text Mining",
"Morphology",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Tagging",
"Coreference Resolution",
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
3,
73,
70,
15,
74,
11,
38,
63,
13,
19,
0
] |
SCOPUS_ID:85053877342
|
22nd International Conference on Developments in Language Theory, DLT 2018
|
The proceedings contain 45 papers. The special focus in this conference is on Developments in Language Theory. The topics include: Tree-to-Graph Transductions with Scope; a Characterization of Completely Reachable Automata; inequalities for One-Step Products; on the Commutative Equivalence of Context-Free Languages; simon’s Theorem for Scattered Words; the Synchronizing Probability Function for Primitive Sets of Matrices; recognizability for Automata; site-Directed Deletion; counting Subwords and Regular Languages; the Runs Theorem and Beyond; deque Languages, Automata and Planar Graphs; a General Approach to State Complexity of Operations: Formalization and Limitations; on Matching Generalised Repetitive Patterns; intersection Non-emptiness and Hardness Within Polynomial Time; complexity of Decision Problems on Totally Rigid Acyclic Tree Grammars; a Pattern Logic for Automata with Outputs; the Intersection Problem for Finite Semigroups; on Completely Reachable Automata and Subset Reachability; on Minimal Grammar Problems for Finite Languages; reversible Pushdown Transducers; a Brief Excursion to Parity Games; two-Way Automata and One-Tape Machines: Read Only Versus Linear Time; dynamics of the Independence Number and Automata Synchronization; closest Substring Problems for Regular Languages; computational Complexity of Decision Problems on Self-verifying Finite Automata; generalizations of Checking Stack Automata: Characterizations and Hierarchies; on Counting Functions of Languages; towards Exact State Complexity Bounds for Input-Driven Pushdown Automata; on Abelian Subshifts; reachability Problems in Nondeterministic Polynomial Maps on the Integers; Projection for Büchi Tree Automata with Constraints Between Siblings; a Tale of Conjunctive Grammars; the Computational Power of Parsing Expression Grammars; On Finitely Ambiguous Büchi Automata; uniformization Problem for Variants of First Order Logic over Finite Words.
|
[
"Multimodality",
"Structured Data in NLP",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
74,
50,
48,
57
] |
SCOPUS_ID:85148002213
|
23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021
|
The proceedings contain 16 papers. The special focus in this conference is on Data Analytics and Management in Data Intensive Domains. The topics include: Image Recognition for Large Soil Maps Archive Overview: Metadata Extraction and Georeferencing Tool Development; cross-Lingual Plagiarism Detection Method; methods for Automatic Argumentation Structure Prediction; a System for Information Extraction from Scientific Texts in Russian; improving Neural Abstractive Summarization with Reliable Sentence Sampling; response to Cybersecurity Threats of Informational Infrastructure Based on Conceptual Models; social Network Analysis of the Professional Community Interaction—Movie Industry Case; cross-Matching of Large Sky Surveys and Study of Astronomical Objects Apparent in Ultraviolet Band Only; the Diversity of Light Curves of Supernovae Associated with Gamma-Ray Bursts; application of Machine Learning Methods for Cross-Matching Astronomical Catalogues; pipeline for Detection of Transient Objects in Optical Surveys; VALD in Astrophysics; machine Learning Application to Predict New Inorganic Compounds – Results and Perspectives.
|
[
"Multilinguality",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
19,
3
] |
SCOPUS_ID:85140464206
|
23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022
|
The proceedings contain 16 papers. The special focus in this conference is on Knowledge Engineering and Knowledge Management. The topics include: EBOCA: Evidences for BiOmedical Concepts Association Ontology; counter Effect Rules Mining in Knowledge Graphs; A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets; human-Centric Ontology Evaluation: Process and Tool Support; towards Pragmatic Explanations for Domain Ontologies; quasi-Equivalent Concept Trade-Off in Ontology Design: Initial Considerations and Analyses; extending Ontology Engineering Practices to Facilitate Application Development; multiAligNet: Cross-lingual Knowledge Bridges Between Words and Senses; Question Answering with Additive Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines; new Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case; documenting the Creation, Manipulation and Evaluation of Links for Reuse and Reproducibility; Should We Afford Affordances? Injecting ConceptNet Knowledge into BERT-Based Models to Improve Commonsense Reasoning Ability; towards a Knowledge Graph of Health Evolution; beyond Causality: Representing Event Relations in Knowledge Graphs.
|
[
"Semantic Text Processing",
"Commonsense Reasoning",
"Structured Data in NLP",
"Question Answering",
"Knowledge Representation",
"Natural Language Interfaces",
"Reasoning",
"Multimodality"
] |
[
72,
62,
50,
27,
18,
11,
8,
74
] |
SCOPUS_ID:85091159155
|
23rd International Conference on Text, Speech, and Dialogue, TSD 2020
|
The proceedings contain 57 papers. The special focus in this conference is on Text, Speech, and Dialogue. The topics include: Finest bert and crosloengual bert: Less is more in multilingual models; employing sentence context in czech answer selection; grammatical parallelism of russian prepositional localization and temporal constructions; costra 1.1: An inquiry into geometric properties of sentence spaces; next step in online querying and visualization of word-formation networks; evaluating a multi-sense definition generation model for multiple languages; combining cross-lingual and cross-task supervision for zero-shot learning; reading comprehension in czech via machine translation and cross-lingual transfer; measuring memorization effect in word-level neural networks probing; multilingual dependency parsing from universal dependencies to sesame street; semi-supervised induction of morpheme boundaries in czech using a word-formation network; interpreting word embeddings using a distribution agnostic approach employing hellinger distance; verb focused answering from cord-19; adjusting bert’s pooling layer for large-scale multi-label text classification; recognizing preferred grammatical gender in russian anonymous online confessions; attention to emotions: Detecting mental disorders in social media; cross-lingual transfer for hindi discourse relation identification; authorship verification with personalized language models; a semantic grammar for augmentative and alternative communication systems; assessing unintended memorization in neural discriminative sequence models; multimodal fake news detection with textual, visual and semantic information; investigating the impact of pre-trained word embeddings on memorization in neural networks; investigating the corpus independence of the bag-of-audio-words approach; developing resources for te reo Māori text to speech synthesis system; acoustic characteristics of vot in plosive consonants produced by parkinson’s patients; speaker-dependent bilstm-based phrasing.
|
[
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Representation Learning",
"Multimodality",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
52,
72,
70,
12,
74,
11,
38,
19,
0
] |
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