id
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SCOPUS_ID:85099811514
|
40 years of metaphors we live by: Remarks on lakoff and johnson’s theory of conceptual metaphors
|
In his essay Cognitive Linguistics and Autonomous Linguistics, published in the 2007 Oxford Handbook of Cognitive Linguistics, John R. Taylor suggests dialogue and even integration between cognitive linguistics and other approaches in language studies. Following Taylor’s line of argument this article reviews George Lakoff and Mark Johnson’s theory of conceptual metaphor. This study intends to address both authors’ empirical and rhetorical excesses since publishing Metaphors we live by forty years ago as an outcome of their rejection of Noam Chomsky’s generative grammar. Thus, it is expected to further converge generativism and cognitivism, as already initiated by researchers such as Taylor, Ray Jackendoff, Peter Culicover, Alan Prince, and Paul Smolensky.
|
[
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
2,
48,
57
] |
SCOPUS_ID:85044452200
|
40th European Conference on Information Retrieval, ECIR 2018
|
The proceedings contain 83 papers. The special focus in this conference is on . The topics include: Workshop on social aspects in personalization and search (SoAPS 2018); first international workshop on narrative extraction from texts: Text2Story 2018; neural networks for information retrieval; tutorial on semantic search on text; extreme multi-label classification for information retrieval; preface; entity-centric topic extraction and exploration: A network-based approach; a hybrid embedding approach to noisy answer passage retrieval; deep learning for detecting cyberbullying across multiple social media platforms; affective neural response generation; web2Text: Deep structured boilerplate removal; attention-based neural text segmentation; modelling randomness in relevance judgments and evaluation measures; Information scent, searching and stopping: Modelling SERP level stopping behaviour; investigating result usefulness in mobile search; a comparative study of native and non-native information seeking behaviours; indiscriminateness in representation spaces of terms and documents; predicting topics in scholarly papers; on the reproducibility and generalisation of the linear transformation of word embeddings; discriminative path-based knowledge graph embedding for precise link prediction; spherical paragraph model; aggregating neural word embeddings for document representation; unsupervised sentiment analysis of twitter posts using density matrix representation; explicit modelling of the implicit short term user preferences for music recommendation; benefits of using symmetric loss in recommender systems; time-aware novelty metrics for recommender systems; employing document embeddings to solve the “new catalog” problem in user targeting, and provide explanations to the users; statistical stemmers: A reproducibility study; topic lifecycle on social networks: Analyzing the effects of semantic continuity and social communities; collection-document summaries.
|
[
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Representation Learning",
"Passage Retrieval",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] |
[
3,
72,
12,
66,
24,
4
] |
SCOPUS_ID:85064860780
|
41st European Conference on Information Retrieval, ECIR 2019
|
The proceedings contain 119 papers. The special focus in this conference is on Information Retrieval. The topics include: Concept to code: neural networks for sequence learning; A tutorial on basics, applications and current developments in PLS path modeling for the IIR community; preface; open-set web genre identification using distributional features and nearest neighbors distance ratio; a neural approach to entity linking on wikidata; self-attentive model for headline generation; can image captioning help passage retrieval in multimodal question answering?; a simple neural approach to spatial role labelling; neural diverse abstractive sentence compression generation; Fully contextualized biomedical NER; deeptagrec: A content-cum-user based tag recommendation framework for stack overflow; document performance prediction for automatic text classification; misleading metadata detection on youtube; a test collection for passage retrieval evaluation of spanish health-related resources; exploiting global impact ordering for higher throughput in selective search; on the impact of storing query frequency history for search engine result caching; aspeRa: Aspect-based rating prediction model; heterogeneous edge embedding for friend recommendation; public sphere 2.0: Targeted commenting in online news media; An extended CLEF ehealth test collection for cross-lingual information retrieval in the medical domain; an axiomatic study of query terms order in Ad-Hoc retrieval; deep neural networks for query expansion using word embeddings; online evaluations for everyone: Mr. Dlib’s living lab for scholarly recommendations; styleexplorer: A toolkit for textual writing style visualization; medspecsearch: Medical specialty search; cross-domain recommendation via deep domain adaptation; contender: Leveraging user opinions for purchase decision-making; paperhunter: a system for exploring papers and citation contexts.
|
[
"Semantic Text Processing",
"Representation Learning",
"Passage Retrieval",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multilinguality"
] |
[
72,
12,
66,
19,
24,
0
] |
SCOPUS_ID:85107388450
|
43rd European Conference on Information Retrieval Research, ECIR 2021
|
The proceedings contain 50 papers. The special focus in this conference is on Information Retrieval Research. The topics include: Open-Domain Conversational Search Assistant with Transformers; preface; stay on Topic, Please: Aligning User Comments to the Content of a News Article; complement Lexical Retrieval Model with Semantic Residual Embeddings; Classifying Scientific Publications with BERT - Is Self-attention a Feature Selection Method?; valuation of Startups: A Machine Learning Perspective; disparate Impact in Item Recommendation: A Case of Geographic Imbalance; you Get What You Chat: Using Conversations to Personalize Search-Based Recommendations; joint Autoregressive and Graph Models for Software and Developer Social Networks; mitigating the Position Bias of Transformer Models in Passage Re-ranking; Exploding TV Sets and Disappointing Laptops: Suggesting Interesting Content in News Archives Based on Surprise Estimation; label Definitions Augmented Interaction Model for Legal Charge Prediction; a Study of Distributed Representations for Figures of Research Articles; an E-Commerce Dataset in French for Multi-modal Product Categorization and Cross-Modal Retrieval; answer Sentence Selection Using Local and Global Context in Transformer Models; an Argument Extraction Decoder in Open Information Extraction; using the Hammer only on Nails: A Hybrid Method for Representation-Based Evidence Retrieval for Question Answering; evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval; diagnosis Ranking with Knowledge Graph Convolutional Networks; studying Catastrophic Forgetting in Neural Ranking Models; extracting Search Tasks from Query Logs Using a Recurrent Deep Clustering Architecture; modeling User Search Tasks with a Language-Agnostic Unsupervised Approach; DSMER: A Deep Semantic Matching Based Framework for Named Entity Recognition; CEQE: Contextualized Embeddings for Query Expansion.
|
[
"Multilinguality",
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Open Information Extraction",
"Multimodality",
"Passage Retrieval",
"Responsible & Trustworthy NLP",
"Cross-Lingual Transfer",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
0,
52,
80,
72,
50,
12,
25,
74,
66,
4,
19,
24,
3
] |
http://arxiv.org/abs/2212.10818v1
|
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders
|
The network architecture of end-to-end (E2E) automatic speech recognition (ASR) can be classified into several models, including connectionist temporal classification (CTC), recurrent neural network transducer (RNN-T), attention mechanism, and non-autoregressive mask-predict models. Since each of these network architectures has pros and cons, a typical use case is to switch these separate models depending on the application requirement, resulting in the increased overhead of maintaining all models. Several methods for integrating two of these complementary models to mitigate the overhead issue have been proposed; however, if we integrate more models, we will further benefit from these complementary models and realize broader applications with a single system. This paper proposes four-decoder joint modeling (4D) of CTC, attention, RNN-T, and mask-predict, which has the following three advantages: 1) The four decoders are jointly trained so that they can be easily switched depending on the application scenarios. 2) Joint training may bring model regularization and improve the model robustness thanks to their complementary properties. 3) Novel one-pass joint decoding methods using CTC, attention, and RNN-T further improves the performance. The experimental results showed that the proposed model consistently reduced the WER.
|
[
"Language Models",
"Semantic Text Processing",
"Text Generation",
"Speech Recognition",
"Multimodality"
] |
[
52,
72,
47,
10,
74
] |
SCOPUS_ID:85102975004
|
4W1H keyword extraction based summarization model
|
In this internet era, with rapidly growing online information, there is a need for automatic summarization of textual documents from plethora of available information, making it an interesting area of research. Automatic keyword extraction and text summarization are Natural Language Processing (NLP) tasks for extracting relevant information from the large text documents. 4W1H (Who, When, Where, What, How) keywords are crucial for sentence generation. Despite the potential of 4W1H keywords, there have not been approaches that utilize the keywords in NLP tasks, particularly summarization. In this paper, we propose a new summarization method based on 4W1H keywords extraction which extracts the answer to a question corresponding to each event in QA format. We apply our methods to BERT and ELECTRA models to generate a summary, which are well-known pre-trained Language Models (LMs) in NLP domain, as a baseline. In experiments, our 4W1H keyword extraction method shows promising performance on AI Hub∗∗https://www.aihub.or.kr/aidata/86 Machine Reading Comprehension (MRC) dataset, recording an extraction performance of an F1-score as 84.93%. Moreover, we show the results of generating a rule-based summarization using keywords extracted with 4W1H.
|
[
"Question Answering",
"Term Extraction",
"Machine Reading Comprehension",
"Summarization",
"Natural Language Interfaces",
"Text Generation",
"Reasoning",
"Information Extraction & Text Mining"
] |
[
27,
1,
37,
30,
11,
47,
8,
3
] |
http://arxiv.org/abs/2005.06946v1
|
4chan & 8chan embeddings
|
We have collected over 30M messages from the publicly available /pol/ message boards on 4chan and 8chan, and compiled them into a model of toxic language use. The trained word embeddings (0.4GB) are released for free and may be useful for further study on toxic discourse or to boost hate speech detection systems: https://textgain.com/8chan.
|
[
"Semantic Text Processing",
"Representation Learning"
] |
[
72,
12
] |
SCOPUS_ID:85093865646
|
4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020
|
The proceedings contain 105 papers. The special focus in this conference is on Web and Big Data. The topics include: Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders; smarter Smart Contracts: Efficient Consent Management in Health Data Sharing; Joint Learning-Based Anomaly Detection on KPI Data; parallel Variable-Length Motif Discovery in Time Series Using Subsequences Correlation; learning Ability Community for Personalized Knowledge Tracing; LOCATE: Locally Anomalous Behavior Change Detection in Behavior Information Sequence; Hyperthyroidism Progress Prediction with Enhanced LSTM; deepStyle: User Style Embedding for Authorship Attribution of Short Texts; densely-Connected Transformer with Co-attentive Information for Matching Text Sequences; WEKE: Learning Word Embeddings for Keyphrase Extraction; MaSRChain: A Trusted Manuscript Submission and Review System Based on Blockchain; contribution of Improved Character Embedding and Latent Posting Styles to Authorship Attribution of Short Texts; Utilizing BERT Pretrained Models with Various Fine-Tune Methods for Subjectivity Detection; a Framework for Learning Cross-Lingual Word Embedding with Topics; paperant: Key Elements Generation with New Ideas; turn-Level Recurrence Self-attention for Joint Dialogue Action Prediction and Response Generation; mining Affective Needs from Online Opinions for Design Innovation; multi-grained Cross-modal Similarity Query with Interpretability; efficient Semantic Enrichment Process for Spatiotemporal Trajectories in Geospatial Environment; On the Vulnerability and Generality of K–Anonymity Location Privacy Under Continuous LBS Requests; fine-Grained Urban Flow Prediction via a Spatio-Temporal Super-Resolution Scheme; enabling Efficient Multi-keyword Search Over Fine-Grained Authorized Healthcare Blockchain System; detecting Abnormal Congregation Through the Analysis of Massive Spatio-Temporal Data; SSMDL: Semi-supervised Multi-task Deep Learning for Transportation Mode Classification and Path Prediction with GPS Trajectories.
|
[
"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:85133718816
|
4th ISCA Tutorial and Research Workshop on Experimental Linguistics, ExLing 2011
|
The proceedings contain 37 papers. The topics discussed include: qualitatively similar automatic semantic priming in native and non-native speakers; structural priming and the phrasal/clausal distinction: the case of concealed questions; syntactic recursion and theory-of-mind reasoning in agrammatic aphasia; recursion in language, theory-of-mind inference and arithmetic: aphasia and Alzheimer’s disease; subject gaps in German coordinative structures - empirical evidence for a gradient phenomenon; evaluating speech samples designed for the voice profile analysis scheme for Brazilian Portuguese (BP-VPAS); dynamic differences in child bilinguals' production of diphthongs; vowel-color associations in non-synesthetes: a study with Spanish and Arabic participants; and the validity of some acoustic measures to predict voice quality settings: trends between acoustic and perceptual correlates of voice quality.
|
[
"Multimodality",
"Speech & Audio in NLP",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
74,
70,
48,
57
] |
SCOPUS_ID:84947966709
|
4th International Colloquium on Grammatical Inference, ICGI 1998
|
The proceedings contain 23 papers. The special focus in this conference is on Grammatical Inference. The topics include: Results of the abbadingo one DFA learning competition and a new evidence-driven state merging algorithm; learning k-variable pattern languages efficiently stochastically finite on average from positive data; meaning helps learning syntax; a polynomial time incremental algorithm for learning DFA; the data driven approach applied to the OSTIA algorithm; grammar model and grammar induction in the system NL PAGE; approximate learning of random subsequential transducers; learning stochastic finite automata from experts; learning deterministic finite automaton with a recurrent neural network; applying grammatical inference in learning a language model for oral dialogue; real language learning; a stochastic search approach to grammar induction; transducer-learning experiments on language understanding; locally threshold testable languages in strict sense; learning a subclass of linear languages from positive structural information; grammatical inference in document recognition; stochastic inference of regular tree languages; how considering incompatible state mergings may reduce the DFA induction search tree; learning regular grammars to model musical style; learning a subclass of context-free languages; using symbol clustering to improve probabilistic automaton inference and a performance evaluation of automatic survey classifiers; pattern discovery in biosequences.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:85113158879
|
4th International Conference on Computational Linguistics in Bulgaria, CLIB 2020
|
The proceedings contain 23 papers. The special focus in this conference is on Computational Linguistics in Bulgaria. The topics include: Demonstration of the european language grid; a corpus-based study of derivational morphology and its theoretical implications; syntactic and morphological features after verbs of perception: Bulgarian in balkan context; on the valency frames of type subject-predicate in bulgarian; analysis of similes in serbian literary texts (1860-1920) using computational methods; classification of l2 thesis statement writing performance using syntactic complexity indices; categorisation of bulgarian legislative documents; controlling chat bot multi-document navigation with the extended discourse trees; cross-lingual transfer learning for semantic role labeling in russian; description logic based formal representation of adjectives; linguistic vs. Encyclopedic knowledge. classification of mwes on thbase of domain information; it takes two to tango – towards a multilingual mwe resourc; generating natural language numerals with tex; a natural language for bulgarian primary and secondary education; digital edition of the life of st. Petka; a bilingual lexicosemantic network of bread based on a parallel corpus; a customizable wordnet editor; comparison of genres in word sense disambiguation using automatically generated text collections; consistency evaluation towards enhancing the conceptual representation of verbs in wordnet; on wordnet semantic classes: Is the sum always bigger?.
|
[
"Multilinguality",
"Text Classification",
"Syntactic Text Processing",
"Cross-Lingual Transfer",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
0,
36,
15,
19,
24,
3
] |
SCOPUS_ID:84874283331
|
4th International Symposium on Semantic Mining in Biomedicine, SMBM 2010
|
The proceedings contain 20 papers. The topics discussed include: applying ontology design patterns to the implementation of relations in GENIA; towards cross-lingual alerting for bursty epidemic events; event extraction for DNA methylation; assessment of NER solutions against the first and second CALBC silver standard corpus; an analysis of gene/protein associations at PubMed scale; improving the extraction of complex regulatory events from scientific text by using ontology-based inference; OMG u got flu? analysis of shared health messages for bio-surveillance; automatic extraction of semantic relations between medical entities: application to the treatment relation; linguistic scope-based and biological event-based speculation and negation annotations in the GENIA event and bio-scope corpora; identifying contextual information in clinical texts: a study of two domains; and comparing pharmacologic classes in NDF-RT and SNOMED CT.
|
[
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Knowledge Representation",
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
72,
3,
18,
19,
0
] |
SCOPUS_ID:85030326819
|
4th International Workshop on Graph Grammars and Their Application to Computer Science, 1990
|
The proceedings contain 50 papers. The special focus in this conference is on Graph Grammars and Their Application to Computer Science. The topics include: A note on hyperedge replacement; graph grsmmars based on node rewriting: an introduction to NLC graph grammars; tutorial introduction to the algebraic approach of graph grammars based on double and single pushouts; the logical expression of graph properties (abstract); the use of graph grammars in applications; an interactive tool for developing graph grammars; an integrated and incremental project support environment; a text-oriented hybrid editor for programmed graph rewriting systems; tools for analyzing graph grammars; an algebraic theory of graph reduction; programming with very large graphs; general solution to a system of recursive equations on hypergraphs; contruction of map OL-systems for developmental sequences of plant cell layers; cycle chain code picture languages; an efficient implementation of graph grammars based on the RETE matching algorithm; an application of graph grammars to the elimination of redundancy from functions defined by schemes; graphic equivalence and computer optimization; graph grammars and logic programming; an algebraic and logical approach; context-free handle-rewriting hypergraph grammars; from graph grammars to high level replacement systems; a characterization of context-free NCE graph languages by monadic second-order logic on trees; elementary actions on an extended entity-relationship database; collage grammars; structured transformations and computation graphs for actor grammars; grammatical inference based on hyperedge replacement; graph rewriting in some categories of partial morphisms.
|
[
"Text Error Correction",
"Paraphrasing",
"Programming Languages in NLP",
"Structured Data in NLP",
"Syntactic Text Processing",
"Text Generation",
"Multimodality"
] |
[
26,
32,
55,
50,
15,
47,
74
] |
SCOPUS_ID:84974725111
|
4th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2003
|
The proceedings contain 45 papers. The special focus in this conference is on Modeling and Using Context. The topics include: Presupposition incorporation in adverbial quantification; a theory of contextual propositions for indicatives; context-sensitive weights for a neural network; a sat-based algorithm for context matching; on the difference between bridge rules and lifting axioms; context dynamic and explanation in contextual graphs; a deduction theorem for normal modal propositional logic; communicative contributions and communicative genres; language production and language understanding in context; effects of context on the description of olfactory properties; a unified context-aware application model; contextual effects on word order; a generic framework for context-based distributed authorizations; unpacking meaning from words; a contextual approach to the logic of fiction; predictive visual context in object detection; copular questions and the common ground; contextual coherence in natural language processing; a logical formalization of database coordination; dynamic contextual intensional logic; a set-free ontological model of interpretation and evaluation contexts; a mathematical model for context and word-meaning; perceiving action from static images; determining context cues in mobile telephony; a formalism for context representation; contextual modeling using context-dependent feedforward neural nets; context-based commonsense reasoning in the Dali logic programming language; an ontology for mobile device sensor-based context awareness; the use of contextual information in a proactivity model for conversational agents and exploiting dynamicity for the definition and parsing of context sensitive grammars.
|
[
"Commonsense Reasoning",
"Reasoning"
] |
[
62,
8
] |
SCOPUS_ID:84943327424
|
4th Workshop of the Cross-Language Evaluation Forum, CLEF 2003
|
The proceedings contain 65 papers. The special focus in this conference is on Ad-hoc Text Retrieval Tracks, Monolingual Experiments, Domain-Specific Document Retrieval, Interactive Cross-Language Retrieval and Cross-Language Question Answering. The topics include: Analysis of the reliability of the multilingual topic set for the cross language evaluation forum; the impact of word normalization methods and merging strategies on multilingual IR; combining query translation and document translation in cross-language retrieval; multilingual information retrieval using open, transparent resources in clef 2003; monolingual, bilingual and multilingual information retrieval; language-dependent and language-independent approaches to cross-lingual text retrieval; multilingual retrieval experiments with MIMOR at the university of Hildesheim; concept-based searching and merging for multilingual information retrieval; automatically generated phrases and relevance feedback for improving CLIR; merging results by predicted retrieval effectiveness; miracle approaches to multilingual information retrieval; experiments to evaluate probabilistic models for automatic stemmer generation and query word translation; regular sound changes for cross-language information retrieval; experiments with machine translation for monolingual, bilingual and multilingual retrieval; comparing weighting models for monolingual information retrieval; pruning texts with nlp and expanding queries with an ontology; report on clef-2003 monolingual tracks; selective compound splitting of Swedish queries for Boolean combinations of truncated terms; experiments with self organizing maps in clef 2003; a data-compression approach to the monolingual girt task; natural language access to the girt4 data and translation selection and document selection.
|
[
"Machine Translation",
"Text Generation",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multilinguality"
] |
[
51,
47,
19,
24,
0
] |
SCOPUS_ID:85133207555
|
4th Workshop on Spoken Language Technologies for Under-Resourced Languages, SLTU 2014
|
The proceedings contain 40 papers. The topics discussed include: query-by-example spoken term detection evaluation on low-resource languages; features for factored language models for code-switching speech; recent progress in developing grapheme-based speech recognition for indonesian ethnic languages: Javanese, Sundanese, Balinese and Bataks; semi-supervised G2p bootstrapping and its application to asr for a very under-resourced language: Iban; towards automatic speech recognition without pronunciation dictionary, transcribed speech and text resources in the target language using cross-lingual word-to-phoneme alignment; rescoring n-best lists for Russian speech recognition using factored language models; and cross-language mapping for small-vocabulary asr in under-resourced languages: investigating the impact of source language choice.
|
[
"Multilinguality",
"Language Models",
"Low-Resource NLP",
"Cross-Lingual Transfer",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Speech Recognition",
"Responsible & Trustworthy NLP"
] |
[
0,
52,
80,
19,
72,
70,
74,
47,
10,
4
] |
SCOPUS_ID:85089086416
|
50 years of syntactic research in Hungary
|
This is an overview of research in syntax since the mid-1960's, when a group of middle-aged professors introduced modern syntax in the curriculum and started to raise and support a number of young linguists in this country. Since then various avenues have opened up both in the variety of topics addressed and in international communication. Syntacticians from Hungary have been a constant feature in the linguistic scene at large. This paper, which was originally delivered as a keynote address at the 2020 meeting of the Society of Hungarian Linguistics, aims at tracking this development.
|
[
"Syntactic Text Processing"
] |
[
15
] |
SCOPUS_ID:84878213361
|
50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
|
The proceedings contain 76 papers. The topics discussed include: higher-order constituent parsing and parser combination; joint evaluation of morphological segmentation and syntactic parsing; a comparison of Chinese parsers for Stanford dependencies; a feature-rich constituent context model for grammar induction; private access to phrase tables for statistical machine translation; fast and scalable decoding with language model look-ahead for phrase-based statistical machine translation; head-driven hierarchical phrase-based translation; joint learning of a dual SMT system for paraphrase generation; a novel burst-based text representation model for scalable event detection; a graph-based cross-lingual projection approach for weakly supervised relation extraction; pattern learning for relation extraction with a hierarchical topic model; and genre independent subgroup detection in online discussion threads: a study of implicit attitude using textual latent semantics.
|
[
"Multilinguality",
"Text Error Correction",
"Machine Translation",
"Relation Extraction",
"Syntactic Text Processing",
"Text Generation",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
26,
51,
75,
15,
47,
19,
3
] |
SCOPUS_ID:85016606631
|
54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers
|
The proceedings contain 97 papers. The topics discussed include: learning multiview embeddings of twitter users; implicit polarity and implicit aspect recognition in opinion mining; a domain adaptation regularization for denoising autoencoders; sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings; on the linearity of semantic change: investigating meaning variation via dynamic graph models; joint word segmentation and phonetic category induction; a language-independent neural network for event detection; improved parsing for argument-clusters coordination; reference bias in monolingual machine translation evaluation; cross-lingual projection for class-based language models; a fast approach for semantic similar short texts retrieval; empty element recovery by spinal parser operations; leveraging lexical resources for learning entity embeddings in multi-relational data; multiplicative representations for unsupervised semantic role induction; and natural language inference by tree-based convolution and heuristic matching.
|
[
"Multilinguality",
"Semantic Text Processing",
"Cross-Lingual Transfer",
"Representation Learning"
] |
[
0,
72,
19,
12
] |
SCOPUS_ID:85019287955
|
54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations
|
The proceedings contain 28 papers. The topics discussed include: online information retrieval for language learning; terminology extraction with term variant detection; DeepLife: an entity-aware search, analytics and exploration platform for health and life sciences; visualizing and curating knowledge graphs over time and space; a web-framework for ODIN annotation; TranscRater: a tool for automatic speech recognition quality estimation; language muse: automated linguistic activity generation for English language learners; Jigg: a framework for an easy natural language processing pipeline; an advanced press review system combining deep news analysis and machine learning algorithms; personalized exercises for preposition learning; creating interactive Macaronic interfaces for language learning; and MediaGist: a cross-lingual analyzer of aggregated news and commentaries.
|
[
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
19,
0
] |
SCOPUS_ID:85057281068
|
5G Performance Testing of Mobile Chatbot Applications
|
A Chatbot is an application that is designed to provide automated contextual communication. Today most chatbots are implemented on top of or as a gateway to popular messaging services, such as Facebook Messenger, Skype and Viber. Chatbots can be classified into many categories regarding their usage, such as conversational commerce, customer support, education, marketing and others. Due to their agile deployment ability on top of virtualized and serverless environments,chatbots are expected to play a pivotal role in the forthcoming 5G networks, which support virtualization capabilities at the edge of the network, making feasible the provision of diversified chatbot services customized to each user needs and requests. However, chatbot QoS might be affected under congested network conditions or in areas with poor signal reception quality. Currently, the performance of the chatbot has not been researched, while the users are experiencing only the results of the potential QoS degradation, such as loss or re-ordering of messages. This paper provides an experimental study of the chatbot apps performance/QoS under different network and reception conditions. The experiment was conducted using the 5G mobile network emulation testbed created and provided by the EU-funded TRIANGLE project.
|
[
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] |
[
11,
38
] |
SCOPUS_ID:85081355521
|
5G Service and Discourses on Hyper-connected Society in South Korea: Text Mining of Online News
|
This study explored social discourses on hyper-connected society by using text mining of online news articles in South Korea. Online news data was collected from a database of news articles provided by the Korea Press Promotion Foundation using the R3.5.3 program, and the data cleaning and tokenization was conducted. Then, a Topic Modeling (Latent Dirichlet Allocation) and Network Analysis (N-gram Language Model) was conducted. The number of topics was set to the best 10 topics based on the results of several LDA results. Many words related to 5G next-generation communications and innovative technologies are mentioned in several topics. In addition, the results showed that various social discourses, such as education, human life, societal changes, governmental support, and industry, are currently being discussed as major topics of a hyper-connected society. The results showed that hyper-connected society not only signifies the emergence and application of innovative communication technology, but also includes extensive changes to human life, social relations, education, and industry.
|
[
"Topic Modeling",
"Information Extraction & Text Mining"
] |
[
9,
3
] |
SCOPUS_ID:85032228035
|
5th Annual Symposium on Theoretical Aspects of Computer Science, STACS 1988
|
The proceedings contain 43 papers. The special focus in this conference is on Theoretical Aspects of Computer Science. The topics include: Foreword; geometry of numbers and integer programming: Summary; collapsing oracle hierarchies, census functions and logarithmically many queries; domino games with an application to the complexity of boolean algebras with bounded quantifier alternations; an automatic speed-up of random access machines with powerful arithmetic instructions; characterizing the polynomial Hierarchy by alternating auxiliary pushdown automata; hotz-isomorphism theorems in formal language theory; first-order properties of trees, star-free expressions, and aperiodicity; cyclic rational transductions and polynomials of rational functions; construction of a family of finite maximal codes; fonctions generatrices transcendantes a coefficients engendres par automates; the relation of two patterns with comparable languages; getting back to the past in the union-find problem; hierarchical contextual rewriting with several levels; generalized bisimulation in relational specifications; on polynomial time graph grammars; an axiomatic definition of context-free rewriting and its application to NLC graph grammars; efficient distributed algorithms by using the archimedean time assumption; a simple protocol for secure circuit evaluation: Extended abstract; scheduling independent jobs on hypercubes; voronoi diagrams based on general metrics in the plane: Extended abstract; geometric containment, common roots of polynomials and partial orders; extension of the notion of map and subdivisions of a three-dimensional space; on the construction of optimal time adders: Extended abstract; an optimal algorithm for detecting weak visibility of a polygon: Preliminary version; polygon placement under translation and rotation; on morphisms of trace monoids; an automaton characterization of fairness in SCCS.
|
[
"Paraphrasing",
"Linguistic Theories",
"Green & Sustainable NLP",
"Structured Data in NLP",
"Multimodality",
"Text Generation",
"Linguistics & Cognitive NLP",
"Responsible & Trustworthy NLP"
] |
[
32,
57,
68,
50,
74,
47,
48,
4
] |
SCOPUS_ID:84943311476
|
5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001
|
The proceedings contain 45 papers. The special focus in this conference is on Data Mining and Knowledge Discovery. The topics include: Automatic text summarization using unsupervised and semi-supervised learning; knowledge discovery in multi-label phenotype data; parametric approximation algorithms for high-dimensional Euclidean similarity; data structures for minimization of total within-group distance for spatio-temporal clustering; specifying mining algorithms with iterative user-defined aggregates; interesting fuzzy association rules in quantitative databases; a data set oriented approach for clustering algorithm selection; fusion of meta-knowledge and meta-data for case-based model selection; using grammatical inference to automate information extraction from the web; a general measure of rule interestingness; algorithms for the construction of concept lattices and their diagram graphs; discovering fuzzy classification rules with genetic programming and co-evolution; text categorization and semantic browsing with self-organizing maps on non-Euclidean spaces; a study on the hierarchical data clustering algorithm based on gravity theory; distinguishing natural language processes on the basis of fMRI-measured brain activation; comparison of three objective functions for conceptual clustering; bloomy decision tree for multi-objective classification; mining positive and negative knowledge in clinical databases based on rough set model; lightweight collaborative filtering method for binary-encoded data; support vectors for reinforcement learning; combining discrete algorithmic and probabilistic approaches in data mining; the need for statistical thought in visual data mining; a challenge for machine learning and knowledge discovery and from smart algorithms to active discovery.
|
[
"Text Error Correction",
"Text Classification",
"Syntactic Text Processing",
"Text Clustering",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
26,
36,
15,
29,
24,
3
] |
SCOPUS_ID:84974712385
|
5th International Colloquium on Grammatical Inference, ICGI 2000
|
The proceedings contain 24 papers. The special focus in this conference is on Grammatical Inference, Algorithms and Applications. The topics include: Inference of finite-state transducers by using regular grammars and morphisms; computational complexity of problems on probabilistic grammars and transducers; learning regular languages using non deterministic finite automata; inferring subclasses of contextual languages; permutations and control sets for learning non-regular language families; on the complexity of consistent identification of some classes of structure languages; computation of substring probabilities in stochastic grammars; a comparative study of two algorithms for automata identification; identification in the limit with probability one of stochastic deterministic finite automata; iterated transductions and efficient learning from positive data; synthesizing context free grammars from sample strings based on inductive CYK algorithm; combination of estimation algorithms and grammatical inference techniques to learn stochastic context-free grammars; on the relationship between models for learning in helpful environments; learning context-free grammars from partially structured examples; identification of tree translation rules from examples; counting extensional differences in BC-learning; constructive learning of context-free languages with a subpansive tree; a polynomial time learning algorithm of simple deterministic languages via membership queries and a representative sample and improve the learning of subsequential transducers by using alignments and dictionaries.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:84944034088
|
5th International Conference on Developments in Language Theory, DLT 2001
|
The proceedings contain 34 papers. The special focus in this conference is on Developments in Language Theory. The topics include: The equational theory of fixed points with applications to generalized language theory; decision questions on integer matrices; words, permutations, and representations of numbers; proof complexity of pigeonhole principles; a short introduction to infinite automata; the power of one-letter rational languages; a note on synchronized automata and road coloring problem; the growing context-sensitive languages are the acyclic context-sensitive languages; recognizable sets of n-free pomsets are monadically axiomatizable; hierarchies of string languages generated by deterministic tree transducers; on the power of randomized pushdown automata; an undecidability result concerning periodic morphisms; a universal Turing machine with 3 states and 9 symbols; some regular languages that are church-Rosser congruential; on the relationship between the McNaughton families of languages and the Chomsky hierarchy; parallel communicating grammar systems with incomplete information communication; eliminating communication by parallel rewriting and string rewriting sequential p-systems and regulated rewriting.
|
[
"Linguistics & Cognitive NLP",
"Paraphrasing",
"Text Generation",
"Linguistic Theories"
] |
[
48,
32,
47,
57
] |
SCOPUS_ID:85139155419
|
5th International Conference on Information Systems, ICIS 1984
|
The proceedings contain 24 papers. The special focus in this conference is on Information Systems. The topics include: An exploratory study of organizational procurement policies for personal computers; an investigation of user-led system design: Rational and political perspectives; automatic generation of data flow diagrams from a requirements specification language; computer mediated work: The interplay between technology-and structured jobs-claims representatives in the social security administration; computing and organizations: What we know and what we don’t know; current practices in the development of decision support systems; defining and ranking mis critical tasks; dynamic metasystems for information systems development; effectively utilizing computer-aided design technology: The role of individual difference variables; implementation Failure and System Developer Values: Assumptions, 7[tuisms and Empirical Evidence; knowledge Organization for Command Languages; Methodological Issues in Experimental IS Research: Experiences and Recommendations; organizational Designs for Software Maintenance; Performative, Informative and Emotive Systems The First Piece of the PIE; Personal Information Systems for Strategic Scanning in Turbulent Environments: Can The CEO Go On-Line?; senior Executive Perspectives on Effective Management of Information Technology; the Effects of Maintenance Assignments On Goal Congruence For Programmers and Analysts; the Evolution of Information Systems Architecture; the Information System as a Competitive Weapon; the Politics of Efficiency The Mobilization of Computing in Organizations; theories of Language and Information Systems: An Appraisal of Alternative Language Views for Information Systems.
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
SCOPUS_ID:85117720888
|
5th Workshop on Asian Language Resources, ALR 2005 and 1st Symposium on Asian Language Resources Network, ALRN 2005 - Proceedings
|
The proceedings contain 10 papers. The topics discussed include: domain knowledge engineering based on encyclopedias and the web text; evaluation of a Japanese CFG derived from a syntactically annotated corpus with respect to dependency measures; corpus-oriented acquisition of Chinese; the standard of Chinese corpus metadata; an integrated framework for archiving, processing and developing learning materials for an endangered aboriginal language in tai; construction of structurally annotated spoken dialogue corpus; cross-lingual conversion of lexical semantic relations: building parallel wordnets; Taiwan child language corpus: data collection and annotation; question classification using multiple; and symposium : Asian language resources: infrastructure towards a multilingual language processing environment in Asia.
|
[
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
19,
0
] |
SCOPUS_ID:85119199948
|
5th Workshop on Noisy User-Generated Text, W-NUT@EMNLP 2019
|
The proceedings contain 58 papers. The topics discussed include: formality style transfer for noisy text: leveraging out-of-domain parallel data for in-domain training via POS masking; multilingual whispers: generating paraphrases with translation; personalizing grammatical error correction: adaptation to proficiency level and L1; exploiting BERT for end-to-end aspect-based sentiment analysis; training on synthetic noise improves robustness to natural noise in machine translation; character-based models for adversarial phone number extraction: preventing human sex trafficking; community characteristics and semantic shift of high affinity terms on reddit; and large scale question paraphrase retrieval with smoothed deep metric learning.
|
[
"Text Error Correction",
"Paraphrasing",
"Machine Translation",
"Syntactic Text Processing",
"Text Generation",
"Multilinguality"
] |
[
26,
32,
51,
15,
47,
0
] |
SCOPUS_ID:84870592446
|
6IR: A configurable index for twig queries
|
This paper contains a presentation of our work in progress in the domain of information retrieval in base of semi-structured documents. We try to build a querying engine - called 6IR for Structure based IndeX Information Retrieval - which provides a list of documents similar in content and structure of a twig query. The extraction of documents is based on the identification of structure pattern. We detail the indexing process that consists of extracting all the patterns of the documents of the base useable for the process of interrogation. We show how to control the combinatorial explosion in the size of the index by setting the size of the patterns and the properties that followed on the documents obtained during the interrogation.
|
[
"Indexing",
"Information Retrieval"
] |
[
69,
24
] |
http://arxiv.org/abs/2008.02213v1
|
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
|
Fast IPv6 scanning is challenging in the field of network measurement as it requires exploring the whole IPv6 address space but limited by current computational power. Researchers propose to obtain possible active target candidate sets to probe by algorithmically analyzing the active seed sets. However, IPv6 addresses lack semantic information and contain numerous addressing schemes, leading to the difficulty of designing effective algorithms. In this paper, we introduce our approach 6VecLM to explore achieving such target generation algorithms. The architecture can map addresses into a vector space to interpret semantic relationships and uses a Transformer network to build IPv6 language models for predicting address sequence. Experiments indicate that our approach can perform semantic classification on address space. By adding a new generation approach, our model possesses a controllable word innovation capability compared to conventional language models. The work outperformed the state-of-the-art target generation algorithms on two active address datasets by reaching more quality candidate sets.
|
[
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] |
[
52,
72,
12
] |
SCOPUS_ID:85038238568
|
6th Asia Information Retrieval Societies Conference, AIRS 2010
|
The proceedings contain 57 papers. The special focus in this conference is on Retrieval Societies Conference. The topics include: Co-HITS-ranking based query-focused multi-document summarization; advanced training set construction for retrieval in historic documents; ontology-driven semantic digital library; revisiting Rocchio’s relevance feedback algorithm for probabilistic models; when two is better than one: A study of ranking paradigms and their integrations for subtopic retrieval; connecting qualitative and quantitative analysis of web search process: Analysis using search units; transliteration retrieval model for cross lingual information retrieval; the role of lexical ontology in expanding the semantic textual content of on-line news images; order preserved cost-sensitive listwise approach in learning to rank; mining YouTube to discover extremist videos, users and hidden communities; Pseudo-relevance feedback based on mRMR criteria; an integrated deterministic and nondeterministic inference algorithm for sequential labeling; folkDiffusion: A graph-based tag suggestion method for folksonomies; effectively leveraging entropy and relevance for summarization; machine learning approaches for modeling spammer behavior; research of sentiment block identification for customer reviews based on conditional random fields; semantic relation extraction based on semi-supervised learning; corpus-based Arabic stemming using N-grams; analysis and algorithms for stemming inversion; top-down and bottom-up: A combined approach to slot filling; title-based product search – Exemplified in a Chinese E-commerce portal; relation extraction between related concepts by combining Wikipedia and web information for Japanese language; a Chinese sentence compression method for opinion mining; relation extraction in Vietnamese text using conditional random fields; a sparse L 2-regularized support vector machines for large-scale natural language learning.
|
[
"Multilinguality",
"Semantic Text Processing",
"Relation Extraction",
"Summarization",
"Knowledge Representation",
"Text Generation",
"Cross-Lingual Transfer",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
0,
72,
75,
30,
18,
47,
19,
24,
3
] |
SCOPUS_ID:85119433907
|
6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021
|
The proceedings contain 28 papers. The special focus in this conference is on Knowledge Graph and Semantic Computing. The topics include: Incorporating Complete Syntactical Knowledge for Spoken Language Understanding; NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning; knowledge Enhanced Target-Aware Stance Detection on Tweets; towards Nested and Fine-Grained Open Information Extraction; toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances; a Visual Analysis Method of Knowledge Graph Based on the Elements and Structure; patentMiner: Patent Vacancy Mining via Context-Enhanced and Knowledge-Guided Graph Attention; multi-task Feature Learning for Social Recommendation; multi-stage Knowledge Propagation Network for Recommendation; federated Knowledge Graph Embeddings with Heterogeneous Data; TGKG: New Data Graph Based on Game Ontology; CSDQA: Diagram Question Answering in Computer Science; MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning; MEED: A Multimodal Event Extraction Dataset; C-CLUE: A Benchmark of Classical Chinese Based on a Crowdsourcing System for Knowledge Graph Construction; RCWI: A Dataset for Chinese Complex Word Identification; DiaKG: An Annotated Diabetes Dataset for Medical Knowledge Graph Construction; Weibo-MEL, Wikidata-MEL and Richpedia-MEL: Multimodal Entity Linking Benchmark Datasets; MAKG: A Mobile Application Knowledge Graph for the Research of Cybersecurity; text-Guided Legal Knowledge Graph Reasoning; On Robustness and Bias Analysis of BERT-Based Relation Extraction; KA-NER: Knowledge Augmented Named Entity Recognition; structural Dependency Self-attention Based Hierarchical Event Model for Chinese Financial Event Extraction; integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs; Content-Based Open Knowledge Graph Search: A Preliminary Study with OpenKG.CN; dependency to Semantics: Structure Transformation and Syntax-Guided Attention for Neural Semantic Parsing.
|
[
"Semantic Text Processing",
"Structured Data in NLP",
"Event Extraction",
"Open Information Extraction",
"Knowledge Representation",
"Named Entity Recognition",
"Multimodality",
"Knowledge Graph Reasoning",
"Reasoning",
"Information Extraction & Text Mining"
] |
[
72,
50,
31,
25,
18,
34,
74,
54,
8,
3
] |
SCOPUS_ID:84904893907
|
6th Global WordNet Conference, GWC 2012
|
The proceedings contain 59 papers. The special focus in this conference is on global word net. The topics include: leveraging sentiment to compute word similarity; toward building a large-scale Arabic sentiment lexicon; a web application for visualizing WordNet as a zoomable map; verbs in Sanskrit WordNet; using WordNet to nandle the OOV problem in English to Bangla machine translation; introduction to Gujarati WordNet; extending CzechWordNet using a bilingual dictionary; a survey of WordNets and their licenses; semantic hand-tagging of the SenSem corpus using Spanish WordNet senses; a study of the sense annotation process; a computer aided approach for enriching WordNet with semantic definition; combining WordNet and Crosslingual multi-terminology health portal to access health information; revisiting a Brazilian WordNet; scalar properties of emotion verbs and their representation in WordNet; computing cross-lingual synonym set similarity by using Princeton annotated gloss corpus; restructuring adjectives in WordNet with Cluster editor; an extractive approach of text summarization of assamese using WordNet; encoding commonsense lexical knowledge into WordNet; rethinking WordNet's domains; using WordNet to predict numeral classifiers in Chinese and Japanese; mapping a corpus-induced ontology of action verbs on ItalWordNet; building WordNets by machine translation of sense tagged corpora; Kannada verbs and their automatic sense disambiguation; Wordnet and SUMO for sentiment analysis; using WordNet into UKB in a question answering system for Basque; automated generation of derivative relations in the WordNet expansion perspective; mass noun classifiers in Nepali; finding a location for a new word in WordNet; low-cost ontology development; migrating Cornetto Lexicon to new XML database engine; a proposed Nepali synset entry and extraction tool; automatic extension of WOLF; a novel approach for document classification using assamese WordNet; refining WordNet adjective dumbbells using intensity relations; an open source package for modifying and applying WordNet; linking WordNet to DBpedia; extension of phrases for article determination using WordNet thesaurus; linking specific and generalist knowledge; multiword verbs in WordNets and cross-lingual event-mining using wordnet as a shared knowledge interface.
|
[
"Machine Translation",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Knowledge Representation",
"Text Generation",
"Sentiment Analysis",
"Cross-Lingual Transfer",
"Text Classification",
"Multilinguality"
] |
[
51,
72,
24,
3,
18,
47,
78,
19,
36,
0
] |
SCOPUS_ID:84920532470
|
6th IAPR TC3 International Workshop on Artificial Neural Networks for Pattern Recognition, ANNPR 2014
|
The proceedings contain 27 papers. The special focus in this conference is on Artificial Neural Networks for Pattern Recognition. The topics include: Large margin distribution learning; a decorrelation approach for pruning of multilayer perceptron networks; unsupervised active learning of CRF model for cross-lingual named entity recognition; incremental feature selection by block addition and block deletion using least squares SVRs; low-dimensional data representation in data analysis; analyzing dynamic ensemble selection techniques using dissimilarity analysis; hidden Markov models based on generalized Dirichlet mixtures for proportional data modeling; majority-class aware support vector domain oversampling for imbalanced classification problems; forward and backward forecasting ensembles for the estimation of time series missing data; dynamic weighted fusion of adaptive classifier ensembles based on changing data streams; combining bipartite graph matching and beam search for graph edit distance approximation; computing upper and lower bounds of graph edit distance in cubic time; a new multi-class fuzzy support vector machine algorithm; a reinforcement learning algorithm to train a Tetris playing agent; automatic bridge crack detection - a texture analysis-based approach; part-based high accuracy recognition of serial numbers in bank notes; comparative study of feature selection for white blood cell differential counts in low resolution images; end-shape recognition for Arabic handwritten text segmentation; intelligent ensemble systems for modeling NASDAQ microstructure; face recognition based on discriminative dictionary with multilevel feature fusion; investigating of preprocessing techniques and novel features in recognition of handwritten Arabic characters and a time series classification approach for motion analysis using ensembles in ubiquitous healthcare systems.
|
[
"Information Extraction & Text Mining",
"Information Retrieval",
"Structured Data in NLP",
"Multimodality",
"Cross-Lingual Transfer",
"Text Classification",
"Multilinguality"
] |
[
3,
24,
50,
74,
19,
36,
0
] |
SCOPUS_ID:85036638568
|
6th International Colloquium on Automata, Languages and Programming, ICALP 1979
|
The proceedings contain 53 papers. The special focus in this conference is on Automata, Languages and Programming. The topics include: Arbitration and queueing under limited shared storage requirements; on the homomorphic characterizations of families of languages; Two level grammars: CF-grammars with equation schemes; proving termination with multiset orderings; one abstract accepting algorithm for all kinds of parsers; studies in abstract/concrete mappings in proving algorithm correctness; a characterization of a dot-depth two analogue of generalized definite languages; Partitioned LL(K) grammars; sur les mots sans carré définis par un morphisme; recursion schemes and generalized interpretations; A rational theory of AFLs; on the succinctness of different representations of languages; a fixed-point theorem for recursive-enumerable languages and some considerations about fixed-point semantics of monadic programs; hierarchic index sequential search with optimal variable block size and its minimal expected number of comparisons; a unique termination theorem for a theory with generalised commutative axioms; dags and Chomsky hierarchy; recent advances in the probabilistic analysis of graph-theoretic algorithms; on the average stack size of regularly distributed binary trees; on reductions of parallel programs; a characterization of abstract data as model-theoretic invariants; on the height of derivation trees; the modal logic of programs; a comparison between two variations of a pebble game on graphs; LL(k) parsing for attributed grammars; on eliminating nondeterminism from turing machines which use less than logarithm worktape space; structure preserving transformations on non-left-recursive grammars; the complexity of restricted minimum spanning tree problems; a systematic approach to formal language theory through parallel rewriting; supercounter machines.
|
[
"Programming Languages in NLP",
"Linguistic Theories",
"Structured Data in NLP",
"Linguistics & Cognitive NLP",
"Multimodality"
] |
[
55,
57,
50,
48,
74
] |
SCOPUS_ID:84943327641
|
6th International Colloquium on Grammatical Inference, ICGI 2002
|
The proceedings contain 30 papers. The special focus in this conference is on Grammatical Inference. The topics include: Inference of sequential association rules guided by context-free grammars; PCFG learning by nonterminal partition search; inferring subclasses of regular languages faster using RPNI and forbidden configurations; beyond EDSM; consistent identification in the limit of rigid grammars from strings is NP-hard; some classes of regular languages identifiable in the limit from positive data; learning probabilistic residual finite state automata; on limit points for some variants of rigid lambek grammars; generalized stochastic tree automata for multi-relational data mining; on sufficient conditions to identify classes of grammars from polynomial time and data; stochastic grammatical inference with multinomial tests; learning languages with help; incremental learning of context free grammars; estimating grammar parameters using bounded memory; fast learning from strings of 2-letter rigid grammars; learning locally testable even linear languages from positive data; inferring attribute grammars with structured data for natural language processing; on the learnability of hidden markov models; shallow parsing using probabilistic grammatical inference; software for analysing recurrent neural nets that learn to predict non-regular languages; framework for inductive learning of typed-unification grammars; a tool for language learning based on categorial grammars and semantic information; artificial intelligence software for learning natural language; developing spoken dialog systems using examples and implementing alignment-based learning.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:85037674840
|
6th International Conference on Logical Aspects of Computational Linguistics, LACL 2011
|
The proceedings contain 18 papers. The special focus in this conference is on Logical Aspects of Computational Linguistics. The topics include: Contextual Analysis of Word Meanings in Type-Theoretical Semantics; logic Programming of the Displacement Calculus; conditional Logic Cb and Its Tableau System; are (Linguists’) Propositions (Topos) Propositions?; event in Compositional Dynamic Semantics; using Tree Transducers for Grammatical Inference; distributional Learning of Abstract Categorial Grammars; some Generalised Comparative Determiners; using Logic in the Generation of Referring Expressions; polarized Classical Non-associative Lambek Calculus and Formal Semantics; The Product-Free Lambek-Grishin Calculus Is NP-Complete; copredication, Quantification and Frames; on Dispersed and Choice Iteration in Incrementally Learnable Dependency Types; closure Properties of Minimalist Derivation Tree Languages; well-Nestedness Properly Subsumes Strict Derivational Minimalism; minimalist Tree Languages Are Closed Under Intersection with Recognizable Tree Languages.
|
[
"Text Error Correction",
"Syntactic Text Processing"
] |
[
26,
15
] |
SCOPUS_ID:84949093218
|
6th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2014
|
The proceedings contain 81 papers. The topics discussed include: variable hierarchical dependencies in feature selection; bi-spectrum based-EMD applied to the non- stationary vibration signals for bearing faults diagnosis; wireless landmines tracking system based on GPS and GPRS; performance of curvelets, dual-tree complex wavelet and discrete wavelet transform in handwritten word classification; possibility theory for supervised classification of remotely sensed images: a study case in an urban area in Algeria; proposition of a classification system beta-LS-SVM and its application to medical data sets; topological and textural features for off-line signature verification based on artificial immune algorithm; supervised wavelet-network based fuzzy-logic classifier performance on the UCI databases; scintigraphic image segmentation based on grammatical inference and spiral matrix; and microcalcifications detection in mammograms based on ant colony optimization and Markov random field.
|
[
"Visual Data in NLP",
"Text Error Correction",
"Information Extraction & Text Mining",
"Information Retrieval",
"Syntactic Text Processing",
"Text Classification",
"Multimodality"
] |
[
20,
26,
3,
24,
15,
36,
74
] |
SCOPUS_ID:84944878626
|
6th International Conference on Text, Speech and Dialogue, TSD 2003
|
The proceedings contain 60 papers. The special focus in this conference is on Text, Speech and Dialogue. The topics include: Combating the sparse data problem of language modelling; toward robust speech recognition and understanding; a pilot study of english selectional preferences and their cross-lingual compatibility with basque; auto-tagging of text documents into XML; stable coordinated pairs in text processing; parameter estimation by backoff; document clustering into an unknown number of clusters using a genetic algorithm; experiments in German treebank parsing; a theoretical basis of an architecture of a shell of a reasonably robust syntactic analyser; detecting annotation errors in a corpus by induction of syntactic patterns; the computational complexity of rule-based part-of-speech tagging; identification of multiwords as preprocessing for automatic extraction of lexical similarities; build a large-scale syntactically annotated Chinese corpus; computational benefits of a totally lexicalist grammar; using a Czech valency lexicon for annotation support; on concept based approach for determining semantic index terms; corpora issues in validation of Serbian wordnet; optimising attribute selection in conversational search; on homogeneous segments; advances in automatic speech recognition by imitating spreading activation; the incorporation of confidence measures to language understanding; understanding speech based on a Bayesian concept extraction method; a data-driven framework for intonational phrase break prediction; phoneme recognition using temporal patterns; temporal expression resolution system applied to event ordering; improving speech recognition by utilizing domain knowledge and confidence measures and recognition of speech with non-random attributes.
|
[
"Multilinguality",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Robustness in NLP",
"Multimodality",
"Natural Language Interfaces",
"Text Generation",
"Text Clustering",
"Responsible & Trustworthy NLP",
"Tagging",
"Speech Recognition",
"Dialogue Systems & Conversational Agents"
] |
[
0,
19,
3,
70,
15,
58,
74,
11,
47,
29,
4,
63,
10,
38
] |
SCOPUS_ID:84947928739
|
6th International Workshop on Algorithmic Learning Theory, ALT 1995
|
The proceedings contain 24 papers. The special focus in this conference is on Algorithmic Learning Theory. The topics include: Grammatical inference; efficient learning of real time one-counter automata; learning strongly deterministic even linear languages from positive examples; language learning from membership queries and characteristic examples; learning unions of tree patterns using queries; inductive constraint logic; incremental learning of logic programs; learning orthogonal F-Horn formulas; learning nested differences in the presence of malicious noise; learning sparse linear combinations of basis functions over a finite domain; inferring a DNA sequence from erroneous copies (invited lecture); machine induction without revolutionary paradigm shifts; probabilistic language learning under monotonicity constraints; noisy inference and oracles; simulating teams with many conjectures; complexity of network training for classes of neural networks; learning ordered binary decision diagrams; simple PAC learning of simple decision lists; the complexity of learning minor closed graph classes; technical and scientific issues of KDD (invited lecture); analogical logic program synthesis algorithm that can refute inappropriate similarities; reflecting and self-confident inductive inference machines; on approximately identifying concept classes in the limit; application of kolmogorov complexity to inductive inference with limited memory.
|
[
"Text Error Correction",
"Programming Languages in NLP",
"Linguistic Theories",
"Syntactic Text Processing",
"Linguistics & Cognitive NLP",
"Multimodality"
] |
[
26,
55,
57,
15,
48,
74
] |
SCOPUS_ID:84958536311
|
6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR 1996
|
The proceedings contain 39 papers. The special focus in this conference is on Grammars, Languages, Morphology and Semantic Nets. The topics include: Efficient recognition of a class of context-sensitive languages described by augmented regular expressions; optimal and information theoretic syntactic pattern recognition for traditional errors; the morphic generator grammatical inference methodology and multilayer perceptrons; a hybrid approach to acoustic modeling; two different approaches for cost-efficient viterbi parsing with error correction; bounded parallelism in array grammars used for character recognition; comparison between the inside-outside algorithm and the viterbi algorithm for stochastic context-free grammars; generalized morphological operators applied to map-analysis; extended cascade-correlation for syntactic and structural pattern recognition; including geometry in graph representations; a quadratic-time graph isomorphism algorithm and its applications; an evidential merit function to guide search in a semantic network based image analysis system; inexact graph matching with genetic search; automatic recognition of bidimensional models learned by grammatical inference in outdoors scenes; signal decomposition by multiscale learning algorithms; structural learning of character patterns for on-line recognition of hand-written Japanese characters; recognition of hand-printed characters using induct machine learning; opponent color processing based on neural models; invariants and fixed structures lead the way to change; representing shape by line patterns; surface skeletonization of volume objects; peculiarities of structural analysis of image contours under various orders of scanning and a structural analysis of curve deformation by discontinuous transformations.
|
[
"Visual Data in NLP",
"Text Error Correction",
"Structured Data in NLP",
"Syntactic Text Processing",
"Multimodality",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] |
[
20,
26,
50,
15,
74,
4,
68
] |
SCOPUS_ID:84970674377
|
7. North America
|
J. E. JEFFRESS gives a succinct report of a survey on training facilities in trans cultural psychiatry presently offered in psychiatric residency programs in the United States. A. E. HIPPLER interprets the apparent swing from a “passive weak” to an “active dangerous” stereotype and posture of many young American Negroes. It would appear that the stable elements of these stereo typed responses are being preserved even while they seem to change on the surface. E. M. PATTISON, N. A. LAPINS, and H. A. DOERR report the construc tion of a personality and social profile of faith-healed members of various sects known to practice faith healing in the Seattle area. Many common psychological characteristics which they found are interpreted as the ego defense mechanisms of denial, externalization, and projection, whereas shared beliefs would serve as ego-integrative and sociointegrative systems adapted to particular subcultures. E. M. PATTISON and R. L. CASEY discuss some psycho logical interpretations of glossolalia derived from their studies of the psycho linguistic aspects of this phenomenon. The following papers are devoted to Canadian and American aboriginal groups. For the first time in Canada a mental health team headed by a psychiatrist visited ten Indian reserves in Saskatchewan for the purpose of finding active psychiatric cases. C. ROY reports on the data, which was compared with that obtained from the adjoining non-Indian communities. Statistical analysis revealed that the prevalence of psychiatric disorders in the Indian communities was significantly higher. Similar conclusions, although only partially supported by the material presen ted, are drawn by C. P. HELLON from psychiatric case histories of Indians, Metis, and Eskimos admitted to the Alberta Hospital, Oliver, as compared to a nonaboriginal control group. According to the author, personality disorders are more frequent in aborigines, and such factors as violence, promiscuity, and criminality correlate with crude measures of acculturation. In two papers on the psychological implications of culture change affecting Cree Indians in Quebec, R. M. WINTROB and P. S. SINDELL describe the discontinuities in enculturation which result from Cree children being sent to distant towns to attend school. The authors focus on the nature of identity conflict among adolescent students, their efforts to resolve it, and the psychopathology charac teristic of failure to resolve it. After a description of how she gradually succeeded in establishing positive therapeutic relations with Indian patients of the upper Fraser Valley, British Columbia, L. JILEK-AALL argues that private psycho therapy for native Indian patients can be given effectively only by a therapist who has a good knowledge of and a deep interest in specific problems of the aboriginal population. This section ends with a brief historical reminder by R. C. DAILEY of the Jesuit missionaries' perceptions of the Indians' drinking behavior. The author thinks that such a behavior was an extension of pre contact cultural patterns. © 1970, Sage Publications. All rights reserved.
|
[
"Explainability & Interpretability in NLP",
"Linguistics & Cognitive NLP",
"Psycholinguistics",
"Responsible & Trustworthy NLP"
] |
[
81,
48,
77,
4
] |
SCOPUS_ID:84925325510
|
7th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2015
|
The proceedings contain 61 papers. The special focus in this conference is on Semantic Web, Social Networks, Recommendation Systems, Text Processing, Information Retrieval, Intelligent Database Systems and Intelligent Information Systems. The topics include: Interactive refinement of linked data; exploiting ontological reasoning in argumentation based multi-agent collaborative classification; architecture of desktop presentation tool for E-learning support and problem of visual data transfer over computer network; analyzing music metadata on artist influence; a method for improving the quality of collective knowledge; a machine translation system for translating from the polish natural language into the sign language; graph-based semi-supervised learning for cross-lingual sentiment classification; an adaptation method for hierarchical user profile in personalized document retrieval systems; on transformation of query scheduling strategies in distributed and heterogeneous database systems; an approach of transforming ontologies into relational databases; on query containment problem for conjunctive queries under bag-set semantics; global logistics tracking and tracing in fleet management; human activity recognition prediction for crowd disaster mitigation; frequencies assignment in cellular networks; monitoring lane formation of pedestrians; comparison of algorithms for multi-agent path finding in crowded environment; modelling a robotic cell and analysis its throughput by Petri nets; positivity and stability of time-varying discrete-time linear systems; controllability of discrete-time linear switched systems with constrains on switching signal; diversification and entropy improvement on the DPSO algorithm for DTSP; detecting entanglement in quantum systems with artificial neural network and discovering erasable closed patterns.
|
[
"Multilinguality",
"Machine Translation",
"Text Classification",
"Text Generation",
"Cross-Lingual Transfer",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
0,
51,
36,
47,
19,
24,
3
] |
SCOPUS_ID:84870503234
|
7th Australasian Data Mining Conference, AusDM 2008
|
This proceedings contains 27 papers. Data mining and analytics today have advanced rapidly from the early days of pattern finding in commercial databases. They are now a core part of business intelligence and inform decision-making in many areas of human endeavor including science, business, health care and security. Mining of unstructured text, semi-structured web information and multimedia data have continued to receive attention, as have professional challenges to using data mining in industry. Accepted submissions have been grouped into seven sessions reflecting these application areas. Papers published in this conference are categorized under topics such as Algorithms, Approaches for Business and Organisations, Association Rules / Frequent Patterns, Biomedical Data Mining, Engineering Applications, Text Mining. In addition, three Keynote Papers were published. The key terms of this proceedings include natural language learning, data mining, text mining, signal processing, speech processing, audiovisual speech recognition, cognitive linguistics, computational psycholinguistics, receiver operating characteristics, brain computer interface, community structure, networks, modularity, evaluation, imbalanced datasets, roc and cost sensitive learning, lazy Bayesian rules, classification, decision trees, exploratory data mining, visualization, communications analysis, association rule, negative association rule, health data mining, fraud detection, open source data mining, classification of EEG data, brain-computer interfaces, correlation-based feature selection.
|
[
"Text Classification",
"Speech & Audio in NLP",
"Multimodality",
"Psycholinguistics",
"Linguistics & Cognitive NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
36,
70,
74,
77,
48,
24,
3
] |
SCOPUS_ID:85052913545
|
7th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2018
|
The proceedings contain 86 papers. The special focus in this conference is on Natural Language Processing and Chinese Computing. The topics include: Learning Dialogue History for Spoken Language Understanding; a Neural Question Generation System Based on Knowledge Base; projR: Embedding Structure Diversity for Knowledge Graph Completion; BiTCNN: A Bi-Channel Tree Convolution Based Neural Network Model for Relation Classification; using Entity Relation to Improve Event Detection via Attention Mechanism; Five-Stroke Based CNN-BiRNN-CRF Network for Chinese Named Entity Recognition; Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction; distant Supervision for Relation Extraction with Neural Instance Selector; complex Named Entity Recognition via Deep Multi-task Learning from Scratch; perception and Production of Mandarin Monosyllabic Tones by Amdo Tibetan College Students; hierarchical Attention Based Semi-supervised Network Representation Learning; joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification; accelerating Graph-Based Dependency Parsing with Lock-Free Parallel Perceptron; memory-Based Matching Models for Multi-turn Response Selection in Retrieval-Based Chatbots; NEUTag’s Classification System for Zhihu Questions Tagging Task; Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT; improved Neural Machine Translation with Chinese Phonologic Features; coarse-To-Fine Learning for Neural Machine Translation; source Segment Encoding for Neural Machine Translation; Youdao’s Winning Solution to the NLPCC-2018 Task 2 Challenge: A Neural Machine Translation Approach to Chinese Grammatical Error Correction; effective Character-Augmented Word Embedding for Machine Reading Comprehension; target Extraction via Feature-Enriched Neural Networks Model; A Novel Attention Based CNN Model for Emotion Intensity Prediction; Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission.
|
[
"Multilinguality",
"Text Error Correction",
"Machine Translation",
"Semantic Text Processing",
"Information Retrieval",
"Structured Data in NLP",
"Syntactic Text Processing",
"Representation Learning",
"Named Entity Recognition",
"Multimodality",
"Text Generation",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
0,
26,
51,
72,
24,
50,
15,
12,
34,
74,
47,
36,
3
] |
SCOPUS_ID:85144196333
|
7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022
|
The proceedings contain 25 papers. The special focus in this conference is on Knowledge Graph and Semantic Computing Evaluations. The topics include: High Quality Article Recognition Based on Ernie and Knowledge Mapping; high-Quality Article Classification Based on Named Entities of Knowledge Graph and Multi-head Attention; implementation and Optimization of Graph Computing Algorithms Based on Graph Database; knowledge Graph Construction for Foreign Military Unmanned Systems; knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles; Learning Seq2Seq Model with Dynamic Schema Linking for NL2SQL; learning to Answer Complex Visual Questions from Multi-View Analysis; A Prompt-Based UIE Framework; multi-modal Representation Learning with Self-adaptive Threshold for Commodity Verification; a Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions; multimodal Representation Learning-Based Product Matching; relation Extraction as Text Matching: A Scheme for Multi-hop Knowledge Base Question Answering; research on Salient Reasoning for Commonsense Knowledge; Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain; Structured Design Solves Multiple Tables of NL2SQL; The Method for Plausibility Evaluation of Knowledge Triple Based on QA; a Pipeline-Based Multimodal Military Event Argument Extraction Framework; a Search-Enhanced Path Mining and Ranking Method for Cross-lingual Knowledge Base Question Answering; a Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs; cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers; compound Property Prediction Based on Multiple Different Molecular Features and Ensemble Learning; diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention; element Information Enhancement for Diagram Question Answering with Synthetic Data.
|
[
"Multilinguality",
"Programming Languages in NLP",
"Semantic Text Processing",
"Information Retrieval",
"Structured Data in NLP",
"Question Answering",
"Representation Learning",
"Knowledge Representation",
"Multimodality",
"Natural Language Interfaces",
"Cross-Lingual Transfer",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
0,
55,
72,
24,
50,
27,
12,
18,
74,
11,
19,
36,
3
] |
SCOPUS_ID:85047885002
|
7th Computer Science On-line Conference, CSOC 2018
|
The proceedings contain 141 papers. The special focus in this conference is on Computer Science On-line. The topics include: Financial knowledge instantiation from semi-structured, heterogeneous data sources; hierarchical fuzzy deep leaning networks for predicting human behavior in strategic setups; fuzzy-Expert system for customer behavior prediction; a binary grasshopper algorithm applied to the knapsack problem; artificial neural networks implementing maximum likelihood estimator for passive radars; using query expansion for cross-lingual mathematical terminology extraction; text summarization techniques for meta description generation in process of search engine optimization; integration of models of adaptive behavior of ant and bee colony; optimization of multistage tourist route for electric vehicle; FARIP: Framework for artifact removal for image processing using JPEG; enhancing stratified graph sampling algorithms based on approximate degree distribution; MIC-KMeans: A maximum information coefficient based high-dimensional clustering algorithm; DACC: A data exploration method for high-dimensional data sets; multi-targets tracking of multiple instance boosting combining with particle filtering; An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel; Hyper-heuristical particle swarm method for MR images segmentation; A hybrid SAE and CNN classifier for motor imagery EEG classification; semantic bookmark system for dynamic modeling of users browsing preferences; models, algorithms and monitoring system of the technical condition of the launch vehicle “Soyuz-2” at all stages of its life cycle; proactive management of complex objects using precedent methodology; SOPA: Search optimization based predictive approach for design optimization in finFET/SRAM; hierarchical system for evaluating professional competencies using Takagi-Sugeno rules.
|
[
"Multilinguality",
"Visual Data in NLP",
"Cross-Lingual Transfer",
"Multimodality"
] |
[
0,
20,
19,
74
] |
SCOPUS_ID:84949767268
|
7th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2003
|
The proceedings contain 47 papers. The special focus in this conference is on Metadata Applications, Annotation and Recommendation. The topics include: Users and uses of online digital libraries in france; in search for patterns of user interaction for digital libraries; detecting research trends in digital library readership; evaluating the changes in knowledge and attitudes of digital library users; towards a role-based metadata scheme for educational digital libraries; incorporating educational vocabulary in learning object metadata schemas; findings from the mellon metadata harvesting initiative; semantic browsing; metadata editing by schema; enriching a digital library; identifying useful passages in documents based on annotation patterns; a robust recommender system for scientific libraries; cross-lingual text categorization; automatic multi-label subject indexing in a multilingual environment; automatic induction of rules for classification and interpretation of cultural heritage material; an integrated digital library server with OAI and self-organizing capabilities; yet another path index for XML searching; structure-aware query for digital libraries; digitometric services for open archives environments; search engine-crawler symbiosis; topical crawling for business intelligence; networking social science resources; a german scientific portal for cross-searching distributed digital resource collections; scenario-based generation of digital library services; an evaluation of document prefetching in a distributed digital library; a user evaluation of hierarchical phrase browsing; visual semantic modeling of digital libraries; connecting interface metaphors to support creation of path-based collections and managing change in a digital library system with many interface languages.
|
[
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
19,
0
] |
SCOPUS_ID:84954419642
|
7th International Colloquium on Grammatical Inference, ICGI 2004
|
The proceedings contain 31 papers. The special focus in this conference is on Grammatical Inference. The topics include: Learning and mathematics; learning finite-state models for machine translation; the omphalos context-free grammar learning competition; mutually compatible and incompatible merges for the search of the smallest consistent DFA; faster gradient descent training of hidden markov models, using individual learning rate adaptation; learning mild context-sensitiveness; learnability of pregroup grammars; a markovian approach to the induction of regular string distributions; learning node selecting tree transducer from completely annotated examples; identifying clusters from positive data; introducing domain and typing bias in automata inference; analogical equations in sequences; representing languages by learnable rewriting systems; a divide-and-conquer approach to acquire syntactic categories; grammatical inference using suffix trees; learning stochastic finite automata; navigation pattern discovery using grammatical inference; a corpus-driven context-free approximation of head-driven phrase structure grammar; partial learning using link grammars data; an induction method for a subclass of unification grammar from positive data; learning stochastic deterministic regular languages; polynomial time identification of strict deterministic restricted one-counter automata in some class from positive data; learning syntax from function words; running FCRPNI in efficient time for piecewise and right piecewise testable languages; extracting minimum length document type definitions is NP-hard; learning distinguishable linear grammars from positive data; extending incremental learning of context free grammars in synapse; identifying left-right deterministic linear languages and efficient learning of k-reversible context-free grammars from positive structural examples.
|
[
"Responsible & Trustworthy NLP",
"Text Error Correction",
"Syntactic Text Processing",
"Green & Sustainable NLP"
] |
[
4,
26,
15,
68
] |
SCOPUS_ID:84984796581
|
7th International Conference of the CLEF Association, CLEF 2016
|
The proceedings contain 30 papers. The special focus in this conference is on Cross Language Information Retrieval, Evaluation, Classification, Profiling, Suggestion, Best of CLEF 2015 Labs, Short Papers, Posters and CLEF 2016 Labs Overviews. The topics include: Show me how to tie a tie; evaluation of cross-lingual video retrieval; the CLEF monolingual grid of points; a test collection for research on depression and language use; a case study across assessor type, payment levels, query variations and relevance dimensions; reranking hypotheses of machine-translated queries for cross-lingual information retrieval; two-way parsimonious classification models for evolving hierarchies; effects of language and terminology on the usage of health query suggestions; predicting contextually appropriate venues in location-based social networks; the role of personal phrases in author profiling; improving profiles of weakly-engaged users; with applications to recommender systems; kronecker decomposition for image classification; a two-step retrieval method for image captioning; random performance differences between online recommender system algorithms; a statistical stemmer for morphologically complex texts; index-based semantic tagging for efficient query interpretation; a gamified approach to relevance judgement; evaluating categorisation in real life - an argument against simple but impractical metrics; towards an understanding of transactional tasks; a chrome extension to help laypersons search for health information; overview of the CLEF ehealth evaluation lab 2016; multimedia life species identification challenges; cross-genre profiling, clustering, diarization, and obfuscation and overview of the CLEF 2016 social book search lab.
|
[
"Multilinguality",
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Text Classification",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multimodality"
] |
[
0,
20,
3,
36,
19,
24,
74
] |
SCOPUS_ID:84937413940
|
7th International Conference on Developments in Language Theory, DLT 2003
|
The proceedings contain 34 papers. The special focus in this conference is on Developments in Language Theory. The topics include: An automata-theoretic approach to software verification; comments on complete sets of tree automata; restarting automata and their relations to the Chomsky hierarchy; test sets for large families of languages; covering problems from a formal language point of view; regular languages generated by reflexive finite splicing systems; the myhill-nerode theorem for recognizable tree series; NFA reduction algorithms by means of regular inequalities; distributed pushdown automata systems; frequency of symbol occurrences in simple non-primitive stochastic models; learning a regular tree language from a teacher; computation with absolutely no space overhead; deleting string rewriting systems preserve regularity; on deterministic finite automata and syntactic monoid size, continued; deciding the sequentiality of a finitely ambiguous max-plus automaton; syntactic semiring and universal automaton and alphabetic pushdown tree transducers.
|
[
"Linguistics & Cognitive NLP",
"Syntactic Text Processing",
"Linguistic Theories"
] |
[
48,
15,
57
] |
SCOPUS_ID:84905833681
|
7th International Workshop on Descriptional Complexity of Formal Systems, DCFS 2005 - Proceedings
|
The proceedings contain 27 papers. The topics discussed include: some formal methods for analyzing quantum automata; using abstract state machines for the description and analysis of formal systems; communication complexity method for proving lower bounds on descriptional complexity in automata and formal language theory; the Kolmogorov complexity of infinite objects; the degree of parallelism; on active symbols in CD grammar systems; enumeration of context free languages and related structures; two-way non-deterministic finite automata with a write-once track recognize regular languages only; refining the nonterminal complexity of graph-controlled grammars; descriptional complexity of deterministic restarting automata; and union and intersection of regular languages and descriptional complexity.
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
SCOPUS_ID:85009471619
|
7th International Workshop on Spoken Dialogue Systems, IWSDS 2016
|
The proceedings contain 39 papers. The special focus in this conference is on Spoken Dialogue Systems. The topics include: A comparative study of text preprocessing techniques for natural language call routing; compact and interpretable dialogue state representation with genetic sparse distributed memory; incremental human-machine dialogue simulation; active learning for example-based dialog systems; question selection based on expected utility to acquire information through dialogue; breakdown detector for chat-oriented dialogue; user involvement in collaborative decision-making dialog systems; natural language dialog system considering speaker’s emotion calculated from acoustic features; salient cross-lingual acoustic and prosodic features for english and german emotion recognition; entropy-driven dialog for topic classification: detecting and tackling uncertainty; evaluation of question-answering system about conversational agent’s personality; fisher kernels on phase-based features for speech emotion recognition; internationalisation and localisation of spoken dialogue systems; data collection and synchronisation: towards a multiperspective multimodal dialogue system with metacognitive abilities; towards an open-domain social dialog system; toward a context-based approach to assess engagementin human-robot social interaction; extrinsic versus intrinsic evaluation of natural language generation for spoken dialogue systems and social robotics; engagement in dialogue with social robots; dialogue with robots to support symbiotic autonomy; utterance selection using discourse relation filter for chat-oriented dialogue systems; analysis of temporal features for interaction quality estimation; recurrent neural network interaction quality estimation; an evaluation method for system response in chat-oriented dialogue system; the negotiation dialogue game and the fourth dialog state tracking challenge.
|
[
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Sentiment Analysis",
"Emotion Analysis",
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
11,
38,
78,
61,
19,
0
] |
SCOPUS_ID:85033779686
|
7th Joint International Conference on Semantic Technology, JIST 2017
|
The proceedings contain 23 papers. The special focus in this conference is on Semantic Technology. The topics include: Missing RDF triples detection and correction in knowledge graphs; a new sentiment and topic model for short texts on social media; semi-supervised stance-topic model for stance classification on social media; mining inverse and symmetric axioms in linked data; enhancing knowledge graph embedding from a logical perspective; cross-lingual taxonomy alignment with bilingual knowledge graph embeddings; KG-Buddhism: The Chinese knowledge graph on Buddhism; Semantic graph analysis for federated LOD surfing in life sciences; development of semantic web-based imaging database for biological morphome; data structuring for launching web services triggered by media content; user participatory construction of open hazard data for preventing bicycle accidents; semantic IoT: Intelligent water management for efficient urban outdoor water conservation; semantically enhanced case adaptation for dietary menu recommendation of diabetic patients; linked urban open data including social problems’ causality and their costs; Refined JST thesaurus extended with data from other open life science data sources; Refinement-based OWL class induction with convex measures; reasoning on context-dependent domain models; Energy-efficiency of OWL reasoners—frequency matters; the identity problem in description logic ontologies and its application to view-based information hiding; Resolving range violations in DBpedia; entity linking in queries using word, mention and entity joint embedding.
|
[
"Multilinguality",
"Topic Modeling",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Knowledge Representation",
"Multimodality",
"Responsible & Trustworthy NLP",
"Reasoning",
"Cross-Lingual Transfer",
"Green & Sustainable NLP"
] |
[
0,
9,
3,
72,
50,
12,
18,
74,
4,
8,
19,
68
] |
SCOPUS_ID:85049087976
|
7th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, LTC 2015
|
The proceedings contain 31 papers. The special focus in this conference is on Human Language Technologies as a Challenge for Computer Science and Linguistics. The topics include: Multilingual tokenization and part-of-speech tagging. Lightweight versus heavyweight algorithms; a semantic similarity measurement tool for wordnet-like databases; similarity measure for polish short texts based on wordnet-enhanced bag-of-words representation; methods of linking linguistic resources for semantic role labeling; a quality estimation system for hungarian; Leveraging the advantages of associative alignment methods for PB-SMT systems; events extractor for polish based on semantics-driven extraction templates; understanding questions and extracting answers: Interactive quiz game application design; exploiting wikipedia-based information-rich taxonomy for extracting location, creator and membership related information for conceptnet expansion; neural networks revisited for proper name retrieval from diachronic documents; lexical analysis of serbian with conditional random fields and large-coverage finite-state resources; improving chunker performance using a web-based semi-automatic training data analysis tool; a Connectionist Model of Reading with Error Correction Properties; the Automatic Generation of Nonwords for Lexical Recognition Tests; teaching Words in Context: Code-Switching Method for English and Japanese Vocabulary Acquisition Systems; automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection; sentiment Analysis in Polish Web-Political Discussions; saturation Tests in Application to Validation of Opinion Corpora: A Tool for Corpora Processing; Issues and Challenges in Developing Statistical POS Taggers for Sambalpuri; cross-Linguistic Projection for French-Vietnamese Named Entity Translation; cross-Lingual Adaptation of Broadcast Transcription System to Polish Language Using Public Data Sources; National Language Technologies Portals for LRLs: A Case Study.
|
[
"Multilinguality",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
19,
3
] |
SCOPUS_ID:84939258621
|
80,000,000 HOOLIGANS: Discourse of resistance to racism and xenophobia in German punk lyrics 1991–1994
|
The late eighties and early nineties in Germany were not only marked by the fall of the Wall and German unification, but also by the dramatisation of the political issue of asylum, resulting in outbreaks of xenophobic violence. In the context of the asylum debate of the early nineties, a number of punk bands produced songs between 1991 and 1994 which criticise the xenophobic climate created by the asylum debate and undermine an exculpatory official discourse about the violent attacks. The lyrics of these songs will be analysed as instances of counter-discourse emerging from a subcultural sphere that nurtures a critical distance from hegemonic public and political discourse, arguing that Critical Discourse Analysis should pay more attention to defiance of hegemonic discourse.
|
[
"Discourse & Pragmatics",
"Semantic Text Processing"
] |
[
71,
72
] |
SCOPUS_ID:85049550578
|
800 languages and counting: Lessons from survey research across a linguistically diverse continent
|
Using data on more than 800 home languages identified during Afrobarometer Round 5 surveys in 35 countries, as well as information on multilingualism gathered in 20 countries in Round 4, this chapter explores linguistic diversity and multilingualism at the individual level, within communities, and across countries. Afrobarometer data offer a unique perspective on the distribution of languages and language capabilities from the viewpoint of the users of language rather than those who study it. The chapter also identifies some of the challenges encountered in collecting public opinion data in linguistically diverse environments. The findings reveal that even in many rural zones many Africans are living within ethnically and linguistically diverse communities, and preliminary analysis suggests this may have important implications for social and political attitudes. The data have untapped potential for understanding language evolution and for studying language both as a product and as a variable driving attitudes and outcomes.
|
[
"Multilinguality"
] |
[
0
] |
https://aclanthology.org//K18-2011/
|
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
|
We present the Uppsala system for the CoNLL 2018 Shared Task on universal dependency parsing. Our system is a pipeline consisting of three components: the first performs joint word and sentence segmentation; the second predicts part-of-speech tags and morphological features; the third predicts dependency trees from words and tags. Instead of training a single parsing model for each treebank, we trained models with multiple treebanks for one language or closely related languages, greatly reducing the number of models. On the official test run, we ranked 7th of 27 teams for the LAS and MLAS metrics. Our system obtained the best scores overall for word segmentation, universal POS tagging, and morphological features.
|
[
"Multilinguality",
"Syntactic Parsing",
"Syntactic Text Processing",
"Morphology"
] |
[
0,
28,
15,
73
] |
SCOPUS_ID:85077590317
|
8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019
|
The proceedings contain 37 papers. The special focus in this conference is on International Conference on Analysis of Images, Social Networks and Texts. The topics include: Log-based reading speed prediction: A case study on war and peace; cross-lingual argumentation mining for Russian texts; dynamic topic models for retrospective event detection: A study on soviet opposition-leaning media; deep embeddings for brand detection in product titles; wear the right head: Comparing strategies for encoding sentences for aspect extraction; combined advertising sign classifier; a comparison of algorithms for detection of “figurativeness” in metaphor, irony and puns; authorship attribution in russian with new high-performing and fully interpretable morpho-syntactic features; evaluation of sentence embedding models for natural language understanding problems in Russian; Intel distribution of openVINO toolkit: A case study of semantic segmentation; noun compositionality detection using distributional semantics for the Russian language; Deep JEDi: Deep joint entity disambiguation to wikipedia for Russian; selecting an optimal feature set for stance detection; analysis of students educational interests using social networks data; multilevel exponential random graph models application to civil participation studies; the entity name identification in classification algorithm: Testing the advocacy coalition framework by document analysis (the case of Russian Civil society policy); multi-label image set recognition in visually-aware recommender systems; input simplifying as an approach for improving neural network efficiency; american and Russian sign language dactyl recognition and text2sign translation; Data augmentation with GAN: Improving Chest X-Ray pathologies prediction on class-imbalanced cases; experimental analysis of approaches to multidimensional conditional density estimation.
|
[
"Visual Data in NLP",
"Semantic Text Processing",
"Representation Learning",
"Multimodality",
"Cross-Lingual Transfer",
"Multilinguality"
] |
[
20,
72,
12,
74,
19,
0
] |
SCOPUS_ID:84969165062
|
8th International Conference on Computational Collective Intelligence, ICCCI 2016
|
The proceedings contain 7 papers. The special focus in this conference is on Transactions on Computational Collective Intelligence. The topics include: A roadmap for a reference architecture paired with an evaluation framework; entity-based keyword search in web documents; evaluation of keyword search in affective multimedia databases; data driven discovery of attribute dictionaries; subject-related message filtering in social media through context-enriched language models; improving open information extraction for semantic web tasks and searching web 2.0 data through entity-based aggregation.
|
[
"Open Information Extraction",
"Information Extraction & Text Mining"
] |
[
25,
3
] |
SCOPUS_ID:85029784915
|
8th International Conference on Developments in Language Theory, DLT 2004
|
The proceedings contain 35 papers. The special focus in this conference is on Developments in Language Theory. The topics include: some new directions and questions in parameterized complexity; basic notions of reaction systems; a kleene theorem for a class of communicating automata with effective algorithms; algebraic and topological models for DNA recombinant processes; regular expressions for two-dimensional languages over one-letter alphabet; on competence in CD grammar systems; the dot-depth and the polynomial hierarchy correspond on the delta levels; on the maximum coefficients of rational formal series in commuting variables; on codes defined by bio-operations; avoidable sets and well quasi-orders; a ciliate bio-operation and language families; semantic shuffle on and deletion along trajectories; sturmian graphs and a conjecture of moser; P systems working in the sequential mode on arrays and strings; optimal time and communication solutions of firing squad synchronization problems on square arrays, toruses and rings; the power of maximal parallelism in P systems; an efficient pattern matching algorithm on a subclass of context free grammars; on left-monotone deterministic restarting automata; on the computation power of finite automata in two-dimensional environments; the role of the complementarity relation in watson-crick automata and sticker systems; the boolean closure of linear context-free languages; context-sensitive decision problems in groups; decidability and complexity in automatic monoids; relating tree series transducers and weighted tree automata; an NP-complete fragment of LTL; from post systems to the reachability problems for matrix semigroups and multicounter automata and on the equivalence problem for E-pattern languages over small alphabets.
|
[
"Responsible & Trustworthy NLP",
"Linguistic Theories",
"Linguistics & Cognitive NLP",
"Green & Sustainable NLP"
] |
[
4,
57,
48,
68
] |
SCOPUS_ID:85092146816
|
8th International Conference on Statistical Language and Speech Processing, SLSP 2020
|
The proceedings contain 14 papers. The special focus in this conference is on Statistical Language and Speech Processing. The topics include: Towards explainable ai in text features engineering for concept recognition; a comparison of metric learning loss functions for end-to-end speaker verification; ann-mlp classifier of native and nonnative speakers using speech rhythm cues; deep variational metric learning for transfer of expressivity in multispeaker text to speech; generative adversarial network-based semi-supervised learning for pathological speech classification; conditioned text generation with transfer for closed-domain dialogue systems; factweet: Profiling fake news twitter accounts; named entity recognition for icelandic: Annotated corpus and models; bert-based sentiment analysis using distillation; a cognitive approach to parsing with neural networks; s-capade: Spelling correction aimed at particularly deviant errors; exploring parameter sharing techniques for cross-lingual and cross-task supervision.
|
[
"Multimodality",
"Cross-Lingual Transfer",
"Speech & Audio in NLP",
"Multilinguality"
] |
[
74,
19,
70,
0
] |
SCOPUS_ID:85122015969
|
8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings
|
The proceedings contain 149 papers. The topics discussed include: SemEval-2014 Task 1: evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment; SemEval-2014 Task 2: grammar induction for spoken dialogue systems; SemEval-2014 Task 3: cross-level semantic similarity; SemEval-2014 Task 4: aspect based sentiment analysis; SemEval-2014 Task 5: L2 Writing assistant; SemEval-2014 Task 6: supervised semantic parsing of robotic spatial commands; SemEval 2014 Task 8: broad-coverage semantic dependency parsing; SemEval-2014 Task 9: sentiment analysis in twitter; AI-KU: using co-occurrence modeling for semantic similarity; Alpage: transition-based semantic graph parsing with syntactic features; and BioinformaticsUA: concept recognition in clinical narratives using a modular and highly efficient text processing framework.
|
[
"Text Error Correction",
"Semantic Text Processing",
"Semantic Similarity",
"Syntactic Text Processing",
"Sentiment Analysis"
] |
[
26,
72,
53,
15,
78
] |
SCOPUS_ID:77952035252
|
9. on some adverbs in greek derived from prepositional expressions
|
Adverbs in Byzantine Greek show an increasing tendency to differ in their morphology from what we usually find in ancient Greek. The present contribution is a study of adverbs derived from prepositional expressions, which are formed from different components on the pattern of .
|
[
"Syntactic Text Processing",
"Morphology"
] |
[
15,
73
] |
SCOPUS_ID:79957913758
|
9/11, image control, and the graphic narrative: Spiegelman, Rehr, Torres
|
This essay examines three graphic narratives - Spiegelman's In the Shadow of No Towers, Rehr's Tribeca Sunset, and Torres's American Widow - as individual responses to the events of September 11, and, more importantly, to the dominant reconstructions that emerged in the ensuing months. The depersonalization of the event - inevitable in the (re)presentation of a limited set of images - is countered by those presented in the graphic narrative. These authors re-appropriate sometimes iconic images to speak of their own experiences of 9/11 and its aftermath. In the interplay of images and text (and the blank spaces between) meanings multiply. © 2010 Taylor & Francis.
|
[
"Visual Data in NLP",
"Multimodality"
] |
[
20,
74
] |
SCOPUS_ID:85093075248
|
9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020
|
The proceedings contain 114 papers. The special focus in this conference is on Natural Language Processing and Chinese Computing. The topics include: Joint Bilinear End-to-End Dependency Parsing with Prior Knowledge; multi-layer Joint Learning of Chinese Nested Named Entity Recognition Based on Self-attention Mechanism; Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution; analyzing Relational Semantics of Clauses in Chinese Discourse Based on Feature Structure; efficient Lifelong Relation Extraction with Dynamic Regularization; collective Entity Disambiguation Based on Deep Semantic Neighbors and Heterogeneous Entity Correlation; boosting Cross-lingual Entity Alignment with Textual Embedding; label Embedding Enhanced Multi-label Sequence Generation Model; ensemble Distilling Pretrained Language Models for Machine Translation Quality Estimation; the Sentencing-Element-Aware Model for Explainable Term-of-Penalty Prediction; weaken Grammatical Error Influence in Chinese Grammatical Error Correction; encoding Sentences with a Syntax-Aware Self-attention Neural Network for Emotion Distribution Prediction; hierarchical Multi-view Attention for Neural Review-Based Recommendation; negative Feedback Aware Hybrid Sequential Neural Recommendation Model; MSReNet: Multi-step Reformulation for Open-Domain Question Answering; prophetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine; LARQ: Learning to Ask and Rewrite Questions for Community Question Answering; abstractive Summarization via Discourse Relation and Graph Convolutional Networks; Chinese Question Classification Based on ERNIE and Feature Fusion; an Abstractive Summarization Method Based on Global Gated Dual Encoder; referring Expression Generation via Visual Dialogue; rumor Detection on Hierarchical Attention Network with User and Sentiment Information; measuring the Semantic Stability of Word Embedding; task-to-Task Transfer Learning with Parameter-Efficient Adapter; key-Elements Graph Constructed with Evidence Sentence Extraction for Gaokao Chinese; path-Based Visual Explanation.
|
[
"Multilinguality",
"Visual Data in NLP",
"Text Error Correction",
"Language Models",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Structured Data in NLP",
"Question Answering",
"Syntactic Text Processing",
"Representation Learning",
"Summarization",
"Multimodality",
"Natural Language Interfaces",
"Text Generation",
"Responsible & Trustworthy NLP",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
20,
26,
52,
72,
68,
50,
27,
15,
12,
30,
74,
11,
47,
4,
19,
3
] |
SCOPUS_ID:84942693531
|
9th Ibero-American conference on Artificial Intelligence, IBERAMIA 2004
|
The proceedings contain 98 papers. The special focus in this conference is on Distributed AI and Multi-agent Systems, Knowledge Engineering and Case Based Reasoning and Planning and Scheduling. The topics include: Checking social properties of multi-agent systems with activity theory; dynamic quality control based on fuzzy agents for multipoint; web-enabling multiagent systems; gaining competitive advantage through learning agent models; towards an efficient rule-based coordination of web services; applying rough sets reduction techniques to the construction of a fuzzy rule base for case based reasoning; a case base seeding for case-based planning systems; handling numeric criteria in relaxed planning graphs; constrainedness and redundancy by constraint ordering; adaptive penalty weights when solving congress timetabling; decomposition approaches for a capacitated hub problem; an efficient method to schedule new trains on a heavily loaded railway network; improving numerical reasoning capabilities of inductive logic programming systems; enhanced ICA mixture model for unsupervised classification; analysis of galactic spectra using active instance-based learning and domain knowledge; machine learning by multi-feature extraction using genetic algorithms; assignment of semantic roles based on word sense disambiguation; multi-session management in spoken dialogue system; an electronic assistant for poetry writing; improving the performance of a named entity extractor by applying a stacking scheme; question answering for Spanish based on lexical and context annotation; answer set programming and S4; on some differences between semantics of logic program updates and towards CNC programming using Haskell.
|
[
"Programming Languages in NLP",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Reasoning",
"Numerical Reasoning",
"Multimodality"
] |
[
55,
68,
4,
8,
5,
74
] |
SCOPUS_ID:85030321234
|
9th International Conference on Advances in Natural Language Processing, PolTAL 2014
|
The proceedings contain 47 papers. The special focus in this conference is on Advances in Natural Language Processing. The topics include: Development of Amharic morphological analyzer using memory-based learning; a finite-state treatment of neoclassical compounds in modern Greek and English; named entity matching method based on the context-free morphological generator; NER in tweets using bagging and a small crowdsourced dataset; yet another ranking function for automatic multiword term extraction; unsupervised keyword extraction from polish legal texts; attribute value acquisition through clustering of adjectives; cross-lingual semantic similarity measure for comparable articles; an integrated approach to automatic synonym detection in Turkish corpus; a parallel non-negative sparse large matrix factorization; statistical analysis of the interaction between word order and definiteness in polish; towards a weighted induction method of dependency annotation; semantic and syntactic model of natural language based on non-negative matrix and tensor factorization; experiments on the identification of predicate-argument structure in polish; syntactic approximation of semantic roles; using polish wordnet for predicting semantic roles for the valency dictionary of polish verbs; semantic extraction with use of frames; constraint grammar based Swedish-Danish machine translation; a hybrid approach to the development of bidirectional English-Oromiffa machine translation; inflating a training corpus for SMT by using unrelated unaligned monolingual data; uncovering discourse relations to insert connectives between the sentences of an automatic summary; toward automatic classification of metadiscourse and detection of nested mentions for coreference resolution in polish.
|
[
"Multilinguality",
"Machine Translation",
"Morphology",
"Syntactic Text Processing",
"Text Generation",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] |
[
0,
51,
73,
15,
47,
19,
3
] |
SCOPUS_ID:85080901922
|
9th Joint International Semantic Technology Conference, JIST 2019
|
The proceedings contain 46 papers. The special focus in this conference is on Joint International Semantic Technology Conference. The topics include: DSEL: A domain-specific entity linking system; exploring the generalization of knowledge graph embedding; incorporating instance correlations in distantly supervised relation extraction; a physical embedding model for knowledge graphs; iterative visual relationship detection via commonsense knowledge graph; a dynamic and informative intelligent survey system based on knowledge graph; CICO: Chemically induced carcinogenesis ontology; retrofitting soft rules for knowledge representation learning; entity synonym discovery via multiple attentions; towards association rule-based complex ontology alignment; Report on the first knowledge graph reasoning challenge 2018: Toward the eXplainable AI system; Autonomous RDF stream processing for IoT edge devices; Certain answers to a SPARQL query over a knowledge base; external knowledge-based weakly supervised learning approach on Chinese clinical named entity recognition; Metadata application profile provenance with extensible authoring format and PAV ontology; an ontology-based development of activity knowledge and system design; violence identification in social media; event-oriented wiki document generation; a linked data model-view-* approach for decoupled client-server applications; JECI: A joint knowledge graph embedding model for concepts and instances; enhanced entity mention recognition and disambiguation technologies for chinese knowledge base Q&A; dispute generation in law documents via joint context and topic attention.
|
[
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Knowledge Representation",
"Knowledge Graph Reasoning",
"Reasoning",
"Multimodality"
] |
[
72,
50,
12,
18,
54,
8,
74
] |
SCOPUS_ID:33746198771
|
9th international conference on Developments in Language Theory (DLT'05): Preface
|
[
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] |
[
48,
57
] |
|
http://arxiv.org/abs/1611.02027v1
|
:telephone::person::sailboat::whale::okhand:; or "Call me Ishmael" - How do you translate emoji?
|
We report on an exploratory analysis of Emoji Dick, a project that leverages crowdsourcing to translate Melville's Moby Dick into emoji. This distinctive use of emoji removes textual context, and leads to a varying translation quality. In this paper, we use statistical word alignment and part-of-speech tagging to explore how people use emoji. Despite these simple methods, we observed differences in token and part-of-speech distributions. Experiments also suggest that semantics are preserved in the translation, and repetition is more common in emoji.
|
[
"Visual Data in NLP",
"Machine Translation",
"Multimodality",
"Text Generation",
"Multilinguality"
] |
[
20,
51,
74,
47,
0
] |
https://aclanthology.org//W11-2835/
|
<StuMaBa>: From Deep Representation to Surface
|
[
"Semantic Text Processing",
"Text Generation",
"Representation Learning"
] |
[
72,
47,
12
] |
|
SCOPUS_ID:61149566233
|
?q(n) 'Wood' in the aramaic ostraca from idumea: A note on the reflex of proto-semitic /*s̊ / in imperial Aramaic
|
A new spelling of the Aramaic lexeme 'wood' has been revealed. The note deals with the paleographic, orthographic, phonetic and phonemic implications of this spelling. It is claimed that in Idumean Aramaic of the fourth century BCE the reflex of the Proto-Semitic lateral fricative emphatic was realized as pharyngeal approximant ayin, what brought to the dissimilation of the first of two pharyngeals in this lexeme. © 2006 BRILL.
|
[
"Phonology",
"Syntactic Text Processing"
] |
[
6,
15
] |
https://aclanthology.org//W10-0210/
|
@AM: Textual Attitude Analysis Model
|
[
"Emotion Analysis",
"Sentiment Analysis"
] |
[
61,
78
] |
|
SCOPUS_ID:67649367551
|
@Note: A workbench for Biomedical Text Mining
|
Biomedical Text Mining (BioTM) is providing valuable approaches to the automated curation of scientific literature. However, most efforts have addressed the benchmarking of new algorithms rather than user operational needs. Bridging the gap between BioTM researchers and biologists' needs is crucial to solve real-world problems and promote further research. We present @Note, a platform for BioTM that aims at the effective translation of the advances between three distinct classes of users: biologists, text miners and software developers. Its main functional contributions are the ability to process abstracts and full-texts; an information retrieval module enabling PubMed search and journal crawling; a pre-processing module with PDF-to-text conversion, tokenisation and stopword removal; a semantic annotation schema; a lexicon-based annotator; a user-friendly annotation view that allows to correct annotations and a Text Mining Module supporting dataset preparation and algorithm evaluation. @Note improves the interoperability, modularity and flexibility when integrating in-home and open-source third-party components. Its component-based architecture allows the rapid development of new applications, emphasizing the principles of transparency and simplicity of use. Although it is still on-going, it has already allowed the development of applications that are currently being used. © 2009 Elsevier Inc. All rights reserved.
|
[
"Information Retrieval"
] |
[
24
] |
SCOPUS_ID:77950102821
|
A "Babelish" world (Genesis 11:1-9) and its challenge to cultural-linguistic theory
|
After decades of optimism, interreligious dialogue is now confronted with a considerable amount of skepticism. In theology, this skepticism is primarily being fed by the cultural-linguistic theory of religion. This theory seems to be in keeping with what the Babel narrative has always said: people belonging to different "language" communities can do no more than babble at one another. The author asks, first of all, whether the story of Babel indeed affirms the cultural- linguistic argument for the end of interreligious dialogue. After showing that there are theological and exegetical reasons to doubt the classical interpretation of the Babel narrative, the author demonstrates how a renewed hermeneutic of this story actually challenges the cultural-linguistic discourse concerning the incommensurability of religions. Indeed, she argues, ultimately, the Babel story is not a narrative about the end of communication, but about its beginning.
|
[
"Natural Language Interfaces",
"Linguistic Theories",
"Linguistics & Cognitive NLP",
"Dialogue Systems & Conversational Agents"
] |
[
11,
57,
48,
38
] |
SCOPUS_ID:85031712153
|
A "Slavic Austrian": A few words on the character of Slovenians
|
This article presents the results of a study on character for the selected semantic category of the linguistic and cultural stereotype of Slovenians. The database consists of responses to a survey that was conducted among selected Polish and Slovenian respondents. A comparison between autostereotypical and heterostereotypical perspectives provided a more complete picture of the linguistic and cultural image of Slovenians as part of the category character.
|
[
"Ethical NLP",
"Responsible & Trustworthy NLP"
] |
[
17,
4
] |
SCOPUS_ID:84873643273
|
A "natural" approach to text complexity
|
Recent studies on linguistic complexity (Miestamo 2006, 2009, Miestamo et al. 2008) offer me the opportunity for comparing and re-discussing some major theoretical concepts that were at the basis of my model on textual complexity (2002, 2003, 2004) and which are also fundamental assumptions in those studies. Comparability is limited by the different objects of analysis, text in my research vs. cross-linguistic grammars there, but it is justified by a strong similarity in the very conceptualisation of complexity and in the criteria for defining it. The aim of this paper is to re-propose and further elaborate on my theoretical approach and confirm its validity. Text complexity is viewed as an instance of system complexity and text as a complex system. The analysis of text complexity under this light presupposes conceiving of the text as a dynamic configuration of components that, in the course of the text progression, variously interplay and with varied effects. The theory of complex systems offers good instruments for modelling this type of interplay and for explaining the changes and readjustments that follow. A theory of naturalness/ markedness can help motivate and predict the emergence, type and scope of textual complexity. © School of English, Adam Mickiewicz University, Poznań, Poland.
|
[
"Linguistics & Cognitive NLP",
"Semantic Text Processing",
"Text Complexity",
"Linguistic Theories"
] |
[
48,
72,
42,
57
] |
SCOPUS_ID:84983315285
|
A "white elephant" on Natal’s dunes? A post-developmentalist analysis of the discourses surrounding the construction of the Arena das Dunas
|
One of the big controversies surrounding the holding of the World Cup soccer finals in Brazil involved the construction of new stadiums, especially those considered as potential "white elephants", such as the Arena das Dunas in Natal. The purpose of this study was to evaluate the arguments that constituted the different discourses relating to the construction of the Arena das Dunas. To this end, we looked at three different discursive positions on this subject: those of the organizers of the event, those of the media and those of civil society. The data was obtained through interviews, direct observation and documents. The method adopted was Foucauldian archeology and its discourse analysis. In opting for a theoretical perspective, we adopted post-development theory. Our findings pointed to two opposing discursive formations: one favorable and the other contrary to the investment made in the construction of the stadium.
|
[
"Discourse & Pragmatics",
"Semantic Text Processing"
] |
[
71,
72
] |
SCOPUS_ID:85076505454
|
A <word, part of speech> embedding model for text classification
|
Existing word embeddings learning algorithms only employ the contexts of words, but different text documents use words and their relevant parts of speech very differently. Based on the preceding assumption, in order to obtain appropriate word embeddings and further improve the effect of text classification, this paper studies in depth a representation of words combined with their parts of speech. First, using the parts of speech and context of words, a more expressive word embeddings can be obtained. Further, to improve the efficiency of look-up tables, we construct a two-dimensional table that is in the <word, part of speech> format to represent words in text documents. Finally, the two-dimensional table and a Bayesian theorem are used for text classification. Experimental results show that our model has achieved more desirable results on standard data sets. And it has more preferable versatility and portability than alternative models.
|
[
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Speech & Audio in NLP",
"Representation Learning",
"Text Classification",
"Multimodality"
] |
[
72,
24,
3,
50,
70,
12,
36,
74
] |
http://arxiv.org/abs/1510.06646v2
|
A 'Gibbs-Newton' Technique for Enhanced Inference of Multivariate Polya Parameters and Topic Models
|
Hyper-parameters play a major role in the learning and inference process of latent Dirichlet allocation (LDA). In order to begin the LDA latent variables learning process, these hyper-parameters values need to be pre-determined. We propose an extension for LDA that we call 'Latent Dirichlet allocation Gibbs Newton' (LDA-GN), which places non-informative priors over these hyper-parameters and uses Gibbs sampling to learn appropriate values for them. At the heart of LDA-GN is our proposed 'Gibbs-Newton' algorithm, which is a new technique for learning the parameters of multivariate Polya distributions. We report Gibbs-Newton performance results compared with two prominent existing approaches to the latter task: Minka's fixed-point iteration method and the Moments method. We then evaluate LDA-GN in two ways: (i) by comparing it with standard LDA in terms of the ability of the resulting topic models to generalize to unseen documents; (ii) by comparing it with standard LDA in its performance on a binary classification task.
|
[
"Topic Modeling",
"Information Extraction & Text Mining"
] |
[
9,
3
] |
SCOPUS_ID:84899950713
|
A 'companion' ECA with planning and activity modelling
|
In this paper, we describe the development of an Embodied Conversational Agent (ECA) implementing the concept of a companion, i.e. an agent supporting the persistent representation of user activities and dialogue-based communication with the user. This first experiment implements a Health and Fitness companion aimed at promoting a healthier lifestyle. The system operates by generating an 'ideal' plan of daily activities from background knowledge and dialogue interaction with the user. This plan then becomes an activity model, which will later be instantiated by reports from the user and analysed by the agent from the perspective of initial objectives. At various stages of the day, the plan can still be adapted through further dialogue. The agent is embodied using a wireless rabbit (Nabaztag™) device situated in the user's home. After describing the planning component, based on Hierarchical Task Networks (HTN) and the spoken dialogue system, we present a working example from the system illustrating its behaviour through various phases of user activity generation, updating and re-planning. Copyright © 2008. International Foundation for Autonomous Agents and Multiagent Systems. All rights reserved.
|
[
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] |
[
11,
38
] |
SCOPUS_ID:84924083668
|
A (Neo)Gricean account of irony: An answer to relevance theory
|
Wilson and Sperber purport to reveal several problems in Grice's approach to irony and propose the echoic account for explaining ironic communication. In this article, I claim that some of the criticisms Wilson and Sperber level at Grice's view are not well founded, whereas others can be addressed from a (neo)Gricean approach. I also note certain weaknesses in the echoic account. Finally, I propose the Asif-Theory, which is based on Critical Pragmatics and is Gricean in spirit, for explaining irony from a pragmatic perspective. This theory develops (and corrects) Grice's ideas on irony, but it also accommodates powerful aspects of the echoic account and articulates a full-fledged theory for explaining ironic communication.
|
[
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Linguistic Theories",
"Discourse & Pragmatics",
"Explainability & Interpretability in NLP",
"Sentiment Analysis",
"Stylistic Analysis",
"Responsible & Trustworthy NLP"
] |
[
72,
48,
57,
71,
81,
78,
67,
4
] |
SCOPUS_ID:85144385821
|
A (Psycho-)Linguistically Motivated Scheme for Annotating and Exploring Emotions in a Genre-Diverse Corpus
|
This paper presents a scheme for emotion annotation and its manual application on a genre-diverse corpus of texts written in French. The methodology introduced here emphasizes the necessity of clarifying the main concepts implied by the analysis of emotions as they are expressed in texts, before conducting a manual annotation campaign. After explaining whatentails a deeply linguistic perspective on emotion expression modeling, we present a few NLP works that share some common points with this perspective and meticulously compare our approach with them. We then highlight some interesting quantitative results observed on our annotated corpus. The most notable interactions are on the one hand between emotion expression modes and genres of texts, and on the other hand between emotion expression modes and emotional categories. These observation corroborate and clarify some of the results already mentioned in other NLP works on emotion annotation.
|
[
"Emotion Analysis",
"Sentiment Analysis"
] |
[
61,
78
] |
http://arxiv.org/abs/2001.04701v10
|
A (Simplified) Supreme Being Necessarily Exists, says the Computer: Computationally Explored Variants of Gödel's Ontological Argument
|
An approach to universal (meta-)logical reasoning in classical higher-order logic is employed to explore and study simplifications of Kurt G\"odel's modal ontological argument. Some argument premises are modified, others are dropped, modal collapse is avoided and validity is shown already in weak modal logics K and T. Key to the gained simplifications of G\"odel's original theory is the exploitation of a link to the notions of filter and ultrafilter from topology. The paper illustrates how modern knowledge representation and reasoning technology for quantified non-classical logics can contribute new knowledge to other disciplines. The contributed material is also well suited to support teaching of non-trivial logic formalisms in classroom.
|
[
"Paraphrasing",
"Semantic Text Processing",
"Knowledge Representation",
"Text Generation",
"Reasoning"
] |
[
32,
72,
18,
47,
8
] |
SCOPUS_ID:85131716599
|
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs
|
The proliferation of personal artificial intelligence (AI)-assistant technologies with speech-based conversational AI interfaces is driving the exponential growth in the consumer Internet of Things (IoT) market. As these technologies are being applied to keyword spotting (KWS), automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS) applications, it is of paramount importance that they provide uncompromising performance for context learning in long sequences, which is a key benefit of the attention mechanism, and that they work seamlessly in polyphonic environments. In this work, we present a 25-mm2 system-on-chip (SoC) in 16-nm FinFET technology, codenamed SM6, which executes end-to-end speech-enhancing attention-based ASR and NLP workloads. The SoC includes: 1) FlexASR, a highly reconfigurable NLP inference processor optimized for whole-model acceleration of bidirectional attention-based sequence-to-sequence (seq2seq) deep neural networks (DNNs); 2) a Markov random field source separation engine (MSSE), a probabilistic graphical model accelerator for unsupervised inference via Gibbs sampling, used for sound source separation; 3) a dual-core Arm Cortex A53 CPU cluster, which provides on-demand single Instruction/multiple data (SIMD) fast fourier transform (FFT) processing and performs various application logic (e.g., expectation-maximization (EM) algorithm and 8-bit floating-point (FP8) quantization); and 4) an always-ON M0 subsystem for audio detection and power management. Measurement results demonstrate the efficiency ranges of 2.6-7.8 TFLOPs/W and 4.33-17.6 Gsamples/s/W for FlexASR and MSSE, respectively; MSSE denoising performance allowing 6 × smaller ASR model to be stored on-chip with negligible accuracy loss; and 2.24-mJ energy consumption while achieving real-time throughput, end-to-end, and per-frame ASR latencies of 18 ms.
|
[
"Speech & Audio in NLP",
"Robustness in NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Speech Recognition",
"Multimodality"
] |
[
70,
58,
47,
4,
10,
74
] |
SCOPUS_ID:34248730408
|
A 18th century French-Turkish dictionary in Latin alphabet
|
After the treaty between the state of Ottoman and France which is known as capitulations in history, France seek the opportunity of trading in rich Ottoman lands and for this purpose they came and went to provinces of Ottoman. The best way of making trade with a foreign state is knowing its language. So French planned to maintain its relationships with Ottoman State by using orientalists who were educated and knew the languages of native people very well. Therefore they opened the school named as Language Boys in Istanbul with the desician given by the Parliament of France in 18 November 1669 in order to educate translators called language boys. In my paper it'll be considered about the specialites and importances of the dictionary called François-Turc with the respects of Turkish language, consequently Turkish culture history in which there are Latin printed Turkish words that were used in 18th century Turkish between the pages (355-456) of the grammer book named as Elemens de la Langue Turque "The Elements of Turkish Language" that was written by a French called P.F. Viguier for the purpose of helping French who were trading with Ottomans and living in the Ottoman lands and giving a basic material for the students in the translation school that is called Language Boys.
|
[
"Machine Translation",
"Phonology",
"Syntactic Text Processing",
"Text Generation",
"Multilinguality"
] |
[
51,
6,
15,
47,
0
] |
SCOPUS_ID:85148585377
|
A 2-Tier Bengali Dataset for Evaluation of Hard and Soft Classification Approaches
|
Document classification is an open problem in library, information, and computer sciences towards assigning documents to one or more classes. The interest of linguistic researchers in this domain has increased day by day due to interesting applications like language identification, readability assessment, sentiment analysis, spam filtering, etc. However, researchers focussing on natural language processing of resource-scaring languages have faced many hurdles due to the absence of benchmark datasets. Bengali is among the most-spoken resource-scaring or low-resource language. Although Bengali NLP researchers have endeavoured towards creating their own datasets, they are only useful for performance evaluation of their proposed document classification techniques only. Therefore, there is a gap in the literature on the availability of benchmark datasets. To overcome this barrier, this paper presents a benchmark dataset for Bengali document classification, which is publicly accessible and freely available. This dataset consists of a two-tier architecture, the first-tier for hard classification and the second-tier for soft classification techniques. Hard classification techniques follow supervised learning based models for the classification of documents, while on the other hand, soft classification techniques follow unsupervised learning based models for the clustering of documents. The proposed dataset consists of thirteen unique characteristics. This paper also introduces four new feature sets to evaluate the performance of the proposed dataset, namely: location revealing factor, part of speech tagging factor, relative frequency, and prominence factor.
|
[
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] |
[
24,
36,
3
] |
SCOPUS_ID:84975887050
|
A 2-phase frame-based knowledge extraction framework
|
We present an approach for extracting knowledge from natural language English texts where processing is decoupled in two phases. The first phase comprises several standard NLP tasks whose results are integrated in a single RDF graph of mentions. The second phase processes the mention graph with SPARQL-like mapping rules to produce a knowledge graph organized around semantic frames (i.e., prototypical descriptions of events and situations). The decoupling allows: (i) choosing different tools for the NLP tasks without affecting the remaining computation; (ii) combining the outputs of different NLP tasks in non-trivial ways, leveraging their integrated and coherent representation in a mention graph; and (iii) relating each piece of extracted knowledge to the mention(s) it comes from, leveraging the single RDF representation. We evaluate precision and recall of our approach on a gold standard, showing its competitiveness w.r.t. the state of the art. We also evaluate execution times and (sampled) accuracy on a corpus of 110K Wikipedia pages, showing the applicability of the approach on large corpora.
|
[
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Knowledge Representation",
"Multimodality"
] |
[
72,
3,
50,
18,
74
] |
SCOPUS_ID:72449140078
|
A 2-poisson model for probabilistic coreference of named entities for improved text retrieval
|
Text retrieval queries frequently contain named entities. The standard approach of term frequency weighting does not work well when estimating the term frequency of a named entity, since anaphoric expressions (like he, she, the movie, etc) are frequently used to refer to named entities in a document, and the use of anaphoric expressions causes the term frequency of named entities to be underestimated. In this paper, we propose a novel 2-Poisson model to estimate the frequency of anaphoric expressions of a named entity, without explicitly resolving the anaphoric expressions. Our key assumption is that the frequency of anaphoric expressions is distributed over named entities in a document according to the probabilities of whether the document is elite for the named entities. This assumption leads us to formulate our proposed Co-referentially Enhanced Entity Frequency (CEEF). Experimental results on the text collection of TREC Blog Track show that CEEF achieves significant and consistent improvements over state-of-the-art retrieval methods using standard term frequency estimation. In particular, we achieve a 3% increase of MAP over the best performing run of TREC 2008 Blog Track. Copyright 2009 ACM.
|
[
"Coreference Resolution",
"Information Retrieval",
"Information Extraction & Text Mining"
] |
[
13,
24,
3
] |
SCOPUS_ID:85077131937
|
A 2018 workshop: Vaccine and drug ontology studies (VDOS 2018)
|
This Editorial first introduces the background of the vaccine and drug relations and how biomedical terminologies and ontologies have been used to support their studies. The history of the seven workshops, initially named VDOSME, and then named VDOS, is also summarized and introduced. Then the 7th International Workshop on Vaccine and Drug Ontology Studies (VDOS 2018), held on August 10th, 2018, Corvallis, Oregon, USA, is introduced in detail. These VDOS workshops have greatly supported the development, applications, and discussion of vaccine- A nd drug-related terminology and drug studies.
|
[
"Knowledge Representation",
"Semantic Text Processing"
] |
[
18,
72
] |
SCOPUS_ID:85079537123
|
A 2020 perspective on “Mine is yours? Using sentiment analysis to explore the degree of risk in sharing economy”
|
Sentiment analysis has been widely applied to different contexts. In practice, companies use sentiment analysis to understand the voices of consumers. The extracted keywords can be converted to concepts from messy data and transformed into valuable information. By shifting the focus from the consumer to the provider, the relationship between roles has become different in the sharing economy. Sentiment analysis can further assist companies to enhance their value co-creation capabilities, create innovative new services, and restore the functionality and effectiveness of their failed services.
|
[
"Sentiment Analysis"
] |
[
78
] |
SCOPUS_ID:1642401111
|
A 3-steps algorithm for morphological disambiguation using untagged corpora
|
This article presents a three steps algorithm for morphological disambiguation between the definite article and the personal pronoun in French language. Tested accuracy in a large untagged corpora exceeds 98% with less than 1% of error. Our method has been also experimented on unlabeled Greek corpora and the results prove the system's portability to other languages with similar structure. Not any prior knowledge is available. The rule-based procedure is robust and self-correcting. If can also be used as a shallow parser for verbal and nominal groups identification. The last step of the algorithm consists on the creation of a dictionary with classification of the entries in two grammatical categories; nominal and verbal.
|
[
"Syntactic Text Processing",
"Morphology"
] |
[
15,
73
] |
SCOPUS_ID:80051783355
|
A 3-year evolution of linguistic disorders in aphasia after stroke
|
Aphasia recovery after stroke has been the subject of several studies, but in none the deficits on the various linguistic levels were examined, even though in the diagnosis and treatment of aphasia the emphasis lays more and more on these linguistic level disorders. In this observational prospective follow-up study, we explored whether it is meaningful to investigate the recovery of semantics, phonology, and syntax separately. Fifteen patients with aphasia poststroke were assessed at 3 and 10 days, 7 weeks, 4 and 7 months, and 3 years postonset with the ScreeLing, a linguistic level test, the Aphasia Severity Rating Scale (spontaneous speech) and the Token Test. Group results showed improvement for the overall ScreeLing (P<0.01) and its subparts semantics (P<0.01) and syntax (P<0.01) up to 7 weeks, just as the Token Test (P<0.01). Phonology improved up to 4 months (P<0.05) and spontaneous speech up to 7 months (P<0.05). The recovery pattern of the three linguistic levels did not follow a parallel course, with a great deal of variability in linguistic recovery curves between and within patients. These results suggest that it is meaningful to assess the recovery of the linguistic levels separately, starting from the acute stage poststroke. © 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins.
|
[
"Phonology",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality"
] |
[
6,
70,
15,
74
] |
SCOPUS_ID:85112468226
|
A 360-Degree View of a Hospital by Analysing Patient’s Online Reviews Using Fuzzy Sentiment Analysis
|
Millions of people use Internet for developing new skills, booking online tickets, socialising, etc. Out of the sundry activities, giving online reviews by customers has become very customary these days and the fastest medium to make one’s voice heard. With the advent of analytics, more specifically, text mining, the online reviews of the customers have made a huge difference in shaping the future strategies of the companies and have also helped them to study the customer responses of their rivals. In an effort to help hospitals analyse the patient’s reviews present online on various social media platforms, this paper analyses the 659 reviews of people across the nation, on one of the best medical college and hospital of India, All India Institute of Medical Sciences, New Delhi. An attempt is made in this article to develop fuzzy sentiment analysis model with integration of naïve base classifier, which helps to analyse reviews of different hospitals and can come up with their own social media competitive analysis strategy. The results reveal the value text mining can bring to the table for any hospital and the immense business value that it holds.
|
[
"Sentiment Analysis"
] |
[
78
] |
SCOPUS_ID:70349903422
|
A 3D communication platform based on text-to-visual speech sythesis
|
A 3D real-time communication platform based on text-to-visual speech (TTVS) synthesis is proposed. Partners of a communication pair exchange messages with words. At each end interface, TTVS technology is adopted to synthesize received textual messages into speeches. Simultaneously, a 3D avatar expresses embedded human emotions and intentions with body languages and facial expressions. Structure of such a communication platform is introduced. Expression models of human emotions and intentions are proposed. Autonomous interaction models of avatar whose master falls into operation silence are proposed. Driven by program, avatar's movement is obtained by controlling joint angles along its freedom and their varying rates based on proposed methods. A prototype of 3D communication platform with function of TTVS is developed under VB6.0 and OpenGL. ©2009 IEEE.
|
[
"Visual Data in NLP",
"Speech & Audio in NLP",
"Multimodality"
] |
[
20,
70,
74
] |
SCOPUS_ID:67650308669
|
A 3D conversational agent for presenting digital information for deaf people
|
Sign languages appear to be the major communication tool for the deaf community. As a minor community, Vietnamese deaf people often have to rely on a small numbers of interpreters who are hearing people knowing sign language in order to communicate with hearing people. It would be very beneficial for deaf as well as hearing people to develop an automated translation system between spoken/written languages and sign language. In this paper, we present our attempt to graphically decompose the gestures in Vietnamese Sign Language so that they can be easily synthesized in a 3D conversational agent. In order to describe the signs in Vietnamese Sign Language, we proposed an animation-level markup language. Based on this, we presented our 3D conversational agent for presenting multi-modal information for deaf people. The 3D agent can assist deaf people easier and in a more natural way. © Springer-Verlag Berlin Heidelberg 2009.
|
[
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] |
[
11,
38
] |
SCOPUS_ID:84890668950
|
A 3D face animation system for mobile devices
|
In this paper, we present a 3D face animation system rendered on mobile devices. The system automatically creates realistic facial animation from text input with emotion tags. First, an input string is converted into synthetic voice and phonetic information. Then, 3D head model performs facial movements synchronized to the speech. The proposed system offers an affordable quick solution for applications that require virtual actors speaking text in which human-machine interfaces on mobile devices can profit. © 2014 IOS Press and the authors.
|
[
"Speech & Audio in NLP",
"Multimodality"
] |
[
70,
74
] |
SCOPUS_ID:84982815570
|
A 3D multi-scale interface for the visualization and navigation of large XML documents
|
The visualization of large documents such as technical reports or professional manuals is an important issue. For this purpose, we have developed 3D-XV, an interface for visualizing large structured documents through a hierarchical 3D-model. In addition to textual and structural information, the model associates thematic content with colors. In the query mode, passage relevance is described through local histograms. The core textual content can be accessed through textured block faces or through a Web browser. Future work on paragraph signalling and variations of the geometrical model are proposed. 3D-XV is compared to previous approaches to passage retrieval and visualization of thematic links.
|
[
"Passage Retrieval",
"Information Retrieval"
] |
[
66,
24
] |
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