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ANGELES CITY, Philippines – Nine areas in Nueva Ecija and five in Aurora will experience five to 10-hour power interruptions on Oct. 3, the National Grid Corp. of the Philippines (NGCP) announced yesterday.
These areas include Palayan City and the towns of Talavera, Natividad, Llanera, Bongabon, Gabaldon, Laur, Rizal and portions of Sto. Domingo, all in Nueva Ecija; and Dingalan, San Luis, Maria Aurora, Baler and Dipaculao, all in Aurora.
The NGCP said power transmission facilities would be shut down from 8 a.m. to 6 p.m. in these areas.
The blackout will pave the way for the repair of a power transformer at the Cabanatuan substation and maintenance works along the Cabanatuan-Baler 69-kiloVolt line.
On the same day, power will be cut from 6 p.m. to 11 p.m. in San Isidro, Gapan, San Antonio, Jaen and Cabiao, all in Nueva Ecija. – Ding Cervantes, Ric Sapnu
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Mike Nelson:
I left home early on the fifteenth with a group of friends and my young nephew, same journey and hopefully the same result as the season before. We arrived in sheffield around noon, had a full english in a local cafe, then made our way to the ground. We were in different parts of the ground, my nephew and I were in the leppings lane end, after a bit of crush getting in I said if we get split up make your way to the same place we stood at the previous year. As we both walked down the tunnel towards the terraces due to massive crowd we did get split up. I made my way to the same spec I stood at last year and waited for my young nephew, by this time it was about 2-45. I stood behind a barrier and waited for my nephew, and the team to come out. My nephew never arrived but the team came out and the game started.
I dont remember too much at this stage, as what happens on the kop when you move foreward you always go back like a spring,but not this time the pressure from behind just became greater and greater. I remember thinking to myself I am going to die, why arent we springing back this doesnt happen on the kop. I could feel the strength draining from my body, i couldnt hold off the crowd behind me anymore my time was up. I gave up i was about to die. Two young lads in front of me were slapping me on my face telling me to stay awake I tried but it was like a greater force was about to take me, The next I remember was waking up in the northern general hospital in the early hours of sunday morning. My injuries were broken ribs bruised lungs, upper and lower body bruising, nerve damage in my left leg which prevented me carrying out my building work, i needed to change job. The game eventually was played at old trafford a couple of weeks later and by chance the two young lads that helped me were there they both approached me while I was walking on crutches and said, the last time we saw you we thought you were dead. I count myself as very lucky someone was watching over me that day I could easily have been one of the fatalities. My nephew fortunately was not injured. As long as I live I will never forget that day and will support the campaign for justice for the 96 who lost their lives.
Tony Cottier:
I was 18 at Hillsborough, and have felt nothing but guilt since, for having been able to come home that night. When the crush came the bar i was leaning on gave way and my mate managed to pull me upright just in time to stop me falling, we laughed at such a close shave. The people under our feet werent laughing. The man who was unconcious but upright (not being able to fall because of the pressure) who eventually fell when we were pulled out of the back of the crush back into the tunnel, did he die? Was he already dead? When we were back in the tunnel it felt like it does when you put your head out the window of a moving car.
Someone took us around the side of the leppings lane and out onto the pitch I sat on the touchline watching. My friend was walking to and fro shouting about the dead. I had lost my programme and had spotted a man lying on the ground with a jacket over his head, but with a programme sticking out of his back pocket and I resented him for that! I have been told since that i was in shock and that a lack of oxygen prevented me from processing properly, but I still feel bad. Weeks maybe months go by now without thinking about Hillsborough, I now have a blessed life. But, when I think about those people under my feet, over my shoulder or dead on the grass, I dont feel grateful for coming home I feel guilty.
We got the train to Sheffield really early that day and arrived at the ground probably three hours before kick off. We just milled around,we were only young,most of us just 15 or 16, it was my 17th birthday the following day. We decided to get in the ground about an hour before kick off and headed for the central pen, right behind the goal. I'd gone the year before in the car with my Uncle, my cousin was living in Sheffield at the time so me and me Uncle went to the game while me Auntie went to visit me cousin. We got there late, stuck in traffic, no problem, walked straight in through the turnstile, no queues, headed for the middle tunnel. Two police officers were manning the entrance to the tunnel, the middle pen was full they said and directed us to the side pens.
When I hear all the arguments about 1989 about what should and shouldn't have been done I can't help thinking that something as simple as having two police officers or stewards on that tunnel would have gone a long way to preventing what happened. About half an hour before kick off I was getting a bit bored so I managed to get out of the pen and went for a wander around to the turnstiles to see if I could see any familiar faces. Although I'd gone to the game with a load of mates, they weren't the lads I normally went to the footy with so I was looking out for some of the lads I stood on the Kop with. I couldn't see anyone so decided to head back into the ground as kick off was only twenty minutes away. What happened next to me is mostly based on assumption, I couldn't say for definite that this is what happened but as I headed back down that tunnel I recall feeling a surge behind me. I reckon that could've been the moment they opened the gates and I could've been right at the front of that fatal surge that was to prove so catastrophic. I'd been in big crowds before, I was only nine stone so I'd just pick me feet up off the ground and and just end up wherever the crowd took me, but this felt different, somehow I ended up on the floor, someone grabbed me and pulled me up, luckily I'd ended up right by the fence which separated the middle pen from the one to the left as you looked at the pitch. I shinned up it and jumped over.
I still didn't realise the seriousness of the situation, even as people were trying to rip the fences down I still couldn't comprehend what was happening. Then I noticed a fella, about 30, wandering around the pitch, dazed, with blood coming out of his ears, that was probably the moment I realised that something really bad was happening right in front of me. I climbed over the fence, I'd left my mates in that central pen just half an hour ago and couldn't see any of them. Luckily, they'd all somehow managed to get out ok, one lad who'd come with us did end up in hospital but he was ok. On the news that night they were showing film of people clambering over the fence, desperately trying to escape the crush and there was a lad I knocked around with, Mick. We were never the best of mates but I'll never forget that look of relief on his face as he sat on top of that fence for a few seconds before jumping down onto pitchside.
There was an Echo special printed on the Sunday,one of the pictures showed a reunited couple, maybe brother and sister,maybe just friends in tears, hugging eachother on the pitch, I was just behind them placing an advertising hoarding down to carry the injured, thing is I never did anything, didn't help carry any of the injured, didn't know what to do, I was just a kid. I remember a mate of mine saying I should go up to the gym at the other end of the ground as it was full of dead bodies. As a fairly sensible kid I realised that wasn't really a vision or memory I wanted to be carrying with me for the rest of my life so I stayed where we were.


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In this paper, we show how these results can be exploited to improve parsing accuracy by integrating a graph-based and a transition-based model.
|Integrated Models
For the graph-based model, X is the set of possible dependency arcs (2,7,1); for the transition-based model, X is the set of possible configuration-transition pairs (0,75).
|Integrated Models
3.2 The Guided Graph-Based Model
Practically all data-driven models that have been proposed for dependency parsing in recent years can be described as either graph-based or transition-based (McDonald and Nivre, 2007).
In graph-based parsing, we learn a model for scoring possible dependency graphs for a given sentence, typically by factoring the graphs into their component arcs, and perform parsing by searching for the highest-scoring graph.
The graph-based models are globally trained and use exact inference algorithms, but define features over a limited history of parsing decisions.
|Two Models for Dependency Parsing
2.2 Graph-Based Models
|Two Models for Dependency Parsing
Graph-based dependency parsers parameterize a model over smaller substructures in order to search the space of valid dependency graphs and produce the most likely one.
|Two Models for Dependency Parsing
An advantage of graph-based methods is that tractable inference enables the use of standard structured learning techniques that globally set parameters to maximize parsing performance on the training set (McDonald et al., 2005a).
This paper introduces a graph-based semi-supervised joint model of Chinese word segmentation and part-of-speech tagging.
The proposed approach is based on a graph-based label propagation technique.
3.2 Graph-based Label Propagation
Graph-based label propagation, a critical subclass of semi-supervised learning (SSL), has been widely used and shown to outperform other SSL methods (Chapelle et al., 2006).
Typically, graph-based label propagation algorithms are run in two main steps: graph construction and label propagation.
This study focuses on using a graph-based label propagation method to build a semi-supervised joint S&T model.
Graph-based label propagation methods have recently shown they can outperform the state-of-the-art in several natural language processing (NLP) tasks, e.g., POS tagging (Subramanya et al., 2010), knowledge acquisition (Talukdar et al., 2008), shallow semantic parsing for unknown predicate (Das and Smith, 2011).
Motivated by the works in (Subramanya et al., 2010; Das and Smith, 2011), for structured problems, graph-based label propagation can be employed to infer valuable syntactic information (n-gram-level label distributions) from labeled data to unlabeled data.
The proposed approach employs a transductive graph-based label propagation method to acquire such gainful information, i.e., label distributions from a similarity graph constructed over labeled and unlabeled data.
|Related Work
(2010) proposed a graph-based self-train style semi-supervised CRFs algorithm.
We propose a computationally efficient graph-based approach for local coherence modeling.
We evaluate the ability of our graph-based model to estimate the local coherence of a textual document with three different experiments.
3Our graph-based model obtains for the discrimination task an accuracy of 0.846 and 0.635 on the ACCIDENTS and EARTHQUAKES datasets, respectively, compared to 0.904 and 0.872 as reported by Barzilay and Lapata (2008).
Table 3: Discrimination, reproduced baselines (B&L: Barzilay and Lapata (2008); E&C Elsner and Charniak (2011)) vs. graph-based
Similar to the application of graph-based methods in other areas of NLP (e.g.
work on word sense disambiguation by Navigli and Lapata (2010); for an overview over graph-based methods in NLP see Mihalcea and Radev (2011)) we model local coherence by relying only on centrality measures applied to the nodes in the graph.
We apply our graph-based model to the three tasks handled by Barzilay and Lapata (2008) to show that it provides the same flexibility over disparate tasks as the entity grid model: sentence ordering (Section 4.1), summary coherence ranking (Section 4.2), and readability assessment (Section 4.3).
In contrast to Barzilay and Lapata's entity grid that contains information about absent entities, our graph-based representation only contains "positive" information.
From this graph-based representation, the local coherence of a text T can be measured by computing the average outdegree of a projection graph P. This centrality measure was chosen for two main reasons.
|Experiments and Analysis
McDonald and Pereira (2006) propose a second-order graph-based parser, but use a smaller feature set than our work.
|Experiments and Analysis
K00 and Collins (2010) propose a third-order graph-based parser.
For example, Koo and Collins (2010) and Zhang and McDonald (2012) show that incorporating higher-order features into a graph-based parser only leads to modest increase in parsing accuracy.
To construct parse forest on unlabeled data, we employ three supervised parsers based on different paradigms, including our baseline graph-based dependency parser, a transition-based dependency parser (Zhang and Nivre, 2011), and a generative constituent parser (Petrov and Klein, 2007).
|Supervised Dependency Parsing
The graph-based method views the problem as finding an optimal tree from a fully-connected directed graph (McDonald et al., 2005; McDonald and Pereira, 2006; Carreras, 2007; K00 and Collins, 2010), while the transition-based method tries to find a highest-scoring transition sequence that leads to a legal dependency tree (Yamada and Matsumoto, 2003; Nivre, 2003; Zhang and Nivre, 2011).
|Supervised Dependency Parsing
2.1 Graph-based Dependency Parser (GParser)
|Supervised Dependency Parsing
In this work, we adopt the graph-based paradigm because it allows us to naturally derive conditional probability of a dependency tree (1 given a sentence X, which is required to compute likelihood of both labeled and unlabeled data.
We convert such graph-based translation consensus from similar source strings into useful features both for n-best output re-ranking and for decoding algorithm.
|Graph-based Structured Learning
In general, a graph-based model assigns labels to instances by considering the labels of similar instances.
|Graph-based Structured Learning
The gist of graph-based model is that, if two instances are connected by a strong edge, then their labels tend to be the same (Zhu, 2005).
|Graph-based Structured Learning
This scenario differs from the general case of graph-based model in two aspects.
|Graph-based Translation Consensus
Our MT system with graph-based translation consensus adopts the conventional log-linear model.
|Graph-based Translation Consensus
Based on the commonly used features, two kinds of feature are added to equation (1), one is graph-based consensus features, which are about consensus among the translations of similar sentences/spans; the other is local consensus features, which are about consensus among the translations of the same sentence/span.
Alexandrescu and Kirchhoff (2009) proposed a graph-based semi-supervised model to re-rank n-best translation output.
In this paper, we attempt to leverage translation consensus among similar (spans of) source sentences in bilingual training data, by a novel graph-based model of translation consensus.
We compare two parsing models for temporal dependency structures, and show that a deterministic non-projective dependency parser outperforms a graph-based maximum spanning tree parser, achieving labeled attachment accuracy of 0.647 and labeled tree edit distance of 0.596.
|Discussion and Conclusions
Comparing the two dependency parsing models, we have found that a shift-reduce parser, which more closely mirrors the incremental processing of our human annotators, outperforms a graph-based maximum spanning tree parser.
Table 2: Features for the shift-reduce parser (SRP) and the graph-based maximum spanning tree (MST) parser.
The Shift-Reduce parser (SRP; Section 4.1) and the graph-based , maximum spanning tree parser (MST; Section 4.2) are compared to these baselines.
It has been argued that graph-based models like the maximum spanning tree parser should be able to produce more globally consistent and correct dependency trees, yet we do not observe that here.
|Feature Design
The shift-reduce parser (SRP) trains a machine learning classifier as the oracle 0 E (C —> T) to predict a transition 75 from a parser configuration 0 2 (L1, L2, Q, E), using node features such as the heads of L1, L2 and Q, and edge features from the already predicted temporal relations in E. The graph-based maximum spanning tree (MST) parser trains a machine learning model to predict SCORE(e) for an edge e = (107;, rj, wk), using features of the nodes w, and wk.
|Parsing Models
We consider two different approaches to learning a temporal dependency parser: a shift-reduce model (Nivre, 2008) and a graph-based model (McDonald et al., 2005).
|Parsing Models
4.2 Graph-Based Parsing Model
|Parsing Models
Graph-based models are an alternative dependency parsing model, which assembles a graph with weighted edges between all pairs of words, and selects the tree-shaped subset of this graph that gives the highest total score (Fig.
This paper proposes a novel graph-based projection approach and demonstrates the merits of it by using a Korean relation extraction system based on projected dataset from an English—Korean parallel corpus.
|Cross-lingual Annotation Projection for Relation Extraction
To solve both of these problems at once, we propose a graph-based projection approach for relation extraction.
|Graph Construction
The most crucial factor in the success of graph-based learning approaches is how to construct a graph that is appropriate for the target task.
|Graph Construction
Das and Petrov (Das and Petrov, 2011) proposed a graph-based bilingual projection of part-of-speech tagging by considering the tagged words in the source language as labeled examples and connecting them to the unlabeled words in the target language, while referring to the word alignments.
|Graph Construction
The graph for our graph-based projection is constructed by connecting related vertex pairs by weighted edges.
To demonstrate the effectiveness of the graph-based projection approach for relation extraction, we developed a Korean relation extraction system that was trained with projected annotations from English resources.
Table 1: Comparison between direct and graph-based projection approaches to extract semantic relationships for four relation types
The graph-based projection was performed by the Junto toolkit 4 with the maximum number of iterations of 10 for each execution.
In this paper, we propose a graph-based projection approach for weakly supervised relation extraction.
The goal of our graph-based approach is to improve the robustness of the extractor with respect to errors that are generated and accumulated by preprocessors.
|Label Propagation
To induce labels for all of the unlabeled vertices on the graph constructed in Section 3, we utilize the label propagation algorithm (Zhu and Ghahramani, 2002), which is a graph-based semi-supervised learning algorithm.
Most previous graph-based parsing models increase decoding complexity when they use high-order features due to exact-inference decoding.
In this paper, we present an approach to enriching high—order feature representations for graph-based dependency parsing models using a dependency language model and beam search.
Table 7 shows the performance of the graph-based systems that were compared, where McDonald06 refers to the second-order parser of McDonald
|Implementation Details
We implement our parsers based on the MSTParserl, a freely available implementation of the graph-based model proposed by (McDonald and Pereira, 2006).
Among them, graph-based dependency parsing models have achieved state-of-the-art performance for a wide range of Ian-guages as shown in recent CoNLL shared tasks
In the graph-based models, dependency parsing is treated as a structured prediction problem in which the graphs are usually represented as factored structures.
How to enrich high-order feature representations without increasing the decoding complexity for graph-based models becomes a very challenging problem in the dependency parsing task.
|Parsing with dependency language model
3.1 Graph-based parsing model
|Parsing with dependency language model
The graph-based parsing model aims to search for the maximum spanning tree (MST) in a graph (McDonald et al., 2005).
The second one is a graph-based method, which incorporates topic and sentiment information, as well as additional information about sentence-to-sentence relations extracted based on dialogue structure.
In particular, we find that incorporating dialogue structure in the graph-based method contributes to the improved system performance.
In the graph-based method, the best parameters are Asim = 0,)\adj = 0.3,Arel = 0.4,Asent = 0.3.
This is different from graph-based summarization systems for text domains.
When compared to abstractive reference summaries, the graph-based method is slightly better.
widely used in extractive summarization: sentence-ranking and graph-based methods.
Furthermore, in the graph-based method, we propose to better incorporate the dialogue structure information in the graph in order to select salient summary utterances.
|Opinion Summarization Methods
The second one is a graph-based method, which incorporates the dialogue structure in ranking.
|Opinion Summarization Methods
4.2 Graph-based Summarization
|Opinion Summarization Methods
Graph-based methods have been widely used in document summarization.
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences.
With a new representation of graph-based SSL on QA datasets using only a handful of features, and under limited amounts of labeled data, we show improvement in generalization performance over state-of-the-art QA models.
|Conclusions and Discussions
In this paper, we applied a graph-based SSL algorithm to improve the performance of QA task by exploiting unlabeled entailment relations between affirmed question and candidate sentence pairs.
|Conclusions and Discussions
We demonstrated that summarization on graph-based SSL can improve the QA task performance when more unlabeled data is used to learn the classifier model.
We evaluated the performance of graph-based QA system using a set of 202 questions from the TREC04 as testing dataset (Voorhees, 2003), (Prager et al., 2000).
|Graph Based Semi-Supervised Learning for Entailment Ranking
In general graph-based SSL, a function over the graph is estimated such that it satisfies two conditions: 1) close to the observed labels , and 2) be smooth on the whole graph by:
|Graph Based Semi-Supervised Learning for Entailment Ranking
Most graph-based SSLs are transductive, i.e., not easily expendable to new test points outside L U U.
|Graph Summarization
Research on graph-based SSL algorithms point out their effectiveness on real applications, e.g., (Zhu et al., 2003), (Zhou and Scholkopf, 2004), (Sindhwani et al., 2007).
|Graph Summarization
Using graph-based SSL method on the new representative dataset, X' = X U XTe, which is comprised of summarized dataset, X = {Xifizy as labeled data points, and the testing dataset, XTe as unlabeled data points.
Recent research indicates that using labeled and unlabeled data in semi-supervised learning (SSL) environment, with an emphasis on graph-based methods, can improve the performance of information extraction from data for tasks such as question classification (Tri et al., 2006), web classification (Liu et al., 2006), relation extraction (Chen et al., 2006), passage-retrieval (Otterbacher et al., 2009), various natural language processing tasks such as part-of-speech tagging, and named-entity recognition (Suzuki and Isozaki, 2008), word-sense disam-
We construct a textual entailment (TE) module by extracting features from each paired question and answer sentence and designing a classifier with a novel yet feasible graph-based SSL method.
|Approach Overview
Graph-based optimization as the third step to further boost the performance by taking the related tweets into consideration.
|Conclusions and Future Work
In addition, different from previous work using only information on the current tweet for sentiment classification, we propose to take the related tweets of the current tweet into consideration by utilizing graph-based optimization.
|Conclusions and Future Work
According to the experimental results, the graph-based optimization significantly improves the performance.
6.4 Evaluation of Graph-based Optimization
For these tweets, our graph-based optimization approach will have no effect.
Target-dependent sentiment classifier +Graph-based optimization
|Graph-based Sentiment Optimization
If we consider that the sentiment of a tweet only depends on its content and immediate neighbors, we can leverage a graph-based method for sentiment classification of tweets.
* SSL-Graph: A SSL model presented in (Subramanya et al., 2010) that uses graph-based leam-ing as posterior tag smoother for CRF model using Eq.
For graph-based learning, we implemented the algorithm presented in (Subramanya et al., 2010) and used the same hyper-parameters and features.
|Related Work and Motivation
Recent adaptation methods for SSL use: expectation minimization (Daumé-III, 2010) graph-based learning (Chapelle et al., 2006; Zhu, 2005), etc.
|Related Work and Motivation
In (Subramanya et al., 2010) an efficient iterative SSL method is described for syntactic tagging, using graph-based learning to smooth POS tag posteriors.
|Semi-Supervised Semantic Labeling
The unlabeled POS tag posteriors are then smoothed using a graph-based learning algorithm.
|Semi-Supervised Semantic Labeling
Graph-based SSL defines a new CRF objective function:
|Semi-Supervised Semantic Labeling
smoothing model, instead of a graph-based model, as follows:
We use graph-based label propagation for cross-lingual knowledge transfer and use the projected labels as features in an unsupervised model (Berg—Kirkpatrick et al., 2010).
We have shown the efficacy of graph-based label propagation for projecting part-of-speech information across languages.
|Experiments and Results
To provide a thorough analysis, we evaluated three baselines and two oracles in addition to two variants of our graph-based approach.
|Experiments and Results
We tried two versions of our graph-based approach:
|Graph Construction
In graph-based learning approaches one constructs a graph whose vertices are labeled and unlabeled examples, and whose weighted edges encode the degree to which the examples they link have the same label (Zhu et al., 2003).
|Graph Construction
Note, however, that it would be possible to use our graph-based framework also for completely unsupervised POS induction in both languages, similar to Snyder et al.
First, we use a novel graph-based framework for projecting syntactic information across language boundaries.
|Dependency Parsing
There has been much recent work on dependency parsing using graph-based , transition-based, and hybrid methods; see Nivre and McDonald (2008) for an overview.
|Dependency Parsing
Typical graph-based methods consider linear classifiers of the form
|Dependency Parsing as an ILP
Our approach will build a graph-based parser without the drawback of a restriction to local features.
baselines, all of them state-of-the-art parsers based on non-arc-factored models: the second order model of McDonald and Pereira (2006), the hybrid model of Nivre and McDonald (2008), which combines a (labeled) transition-based and a graph-based parser, and a refinement of the latter, due to Martins et al.
Comparing with the baselines, we observe that our full model outperforms that of McDonald and Pereira (2006), and is in line with the most accurate dependency parsers (Nivre and McDonald, 2008; Martins et al., 2008), obtained by combining transition-based and graph-based parsers.14 Notice that our model, compared with these hybrid parsers, has the advantage of not requiring an ensemble configuration (eliminating, for example, the need to tune two parsers).
13Unlike our model, the hybrid models used here as baselines make use of the dependency labels at training time; indeed, the transition-based parser is trained to predict a labeled dependency parse tree, and the graph-based parser use these predicted labels as input features.
In order to address these unique challenges for wikification for the short tweets, we employ graph-based semi-supervised learning algorithms (Zhu et al., 2003; Smola and Kondor, 2003; Blum et al., 2004; Zhou et al., 2004; Talukdar and Crammer, 2009) for collective inference by exploiting the manifold (cluster) structure in both unlabeled and labeled data.
effort to explore graph-based semi-supervised learning algorithms for the wikification task.
|Related Work
Non-collective methods usually rely on prior popularity and context similarity with supervised models (Mihalcea and Csomai, 2007; Milne and Witten, 2008b; Han and Sun, 2011), while collective approaches further leverage the global coherence between concepts normally through supervised or graph-based re-ranking models (Cucerzan, 2007; Milne and Witten, 2008b; Han and Zhao, 2009; Kulkarni et al., 2009; Pennacchiotti and Pantel, 2009; Ferragina and Scaiella, 2010; Fernandez et al., 2010; Radford et al., 2010; Cucerzan, 2011; Guo et al., 2011; Han and Sun, 2011; Han et al., 2011; Ratinov et al., 2011; Chen and Ji, 2011; Kozareva et al., 2011; Cassidy et al., 2012; Shen et al., 2013; Liu et al., 2013).
|Related Work
This work is also related to graph-based semi-supervised learning (Zhu et al., 2003; Smola and Kondor, 2003; Zhou et al., 2004; Talukdar and Crammer, 2009), which has been successfully applied in many Natural Language Processing tasks (Niu et al., 2005; Chen et al., 2006).
|Relational Graph Construction
Compared to the referent graph which considers each mention or concept as a node in previous graph-based re-ranking approaches (Han et al., 2011; Shen et al., 2013), our
|Relational Graph Construction
(ii) It is more appropriate for our graph-based semi-supervised model since it is difficult to assign labels to a pair of mention and concept in the referent graph.
|Semi-supervised Graph Regularization
We propose a novel semi-supervised graph regularization framework based on the graph-based semi-supervised learning algorithm (Zhu et al., 2003):
(Grineva et al., 2009) [X] News Graph-based ranking (DUC for extended neighborhood 28.8 35.4 31.7 -2001) (Wan and Xiao, 2008b) [><] Papers Statistical, semantic, and
|Keyphrase Extraction Approaches
3.3.1 Graph-Based Ranking
|Keyphrase Extraction Approaches
The basic idea behind a graph-based approach is to build a graph from the input document and rank its nodes according to their importance using a graph-based ranking method (e.g., Erin and Page (1998)).
|Keyphrase Extraction Approaches
TextRank (Mihalcea and Tarau, 2004) is one of the most well-known graph-based approaches to keyphrase extraction.
|Experiments & Results 4.1 Experimental Setup
For evaluating our baseline as well as graph-based approaches, we use both intrinsic and extrinsic evaluations.
|Experiments & Results 4.1 Experimental Setup
4.3.1 Graph-based Results
|Graph-based Lexicon Induction
Graph-based approaches can easily become com-putationally very expensive as the number of nodes grow.
|Related work
(2010) used linguistic analysis in the form of graph-based models instead of a vector space.
|Related work
Graph-based semi-supervised methods have been shown to be useful for domain adaptation in MT as well.
|Related work
Alexandrescu and Kirchhoff (2009) applied a graph-based method to determine similarities between sentences and use these similarities to promote similar translations for similar sentences.
In recent years, graph-based methods have attracted considerable attentions (Mihalcea, 2005; Navigli and Lapata, 2007; Agirre and Soroa, 2009).
On the graph structure of lexical knowledge base (LKB), random-walk or other well-known graph-based techniques have been applied to find mutually related senses among target words.
Unlike earlier studies disambiguating word-by-word, the graph-based methods obtain sense-interdependent solution for target words.
|Related Work
As described in Section 1, graph-based WSD has been extensively studied, since graphs are favorable structure to deal with interactions of data on vertices.
|Related Work
Our method can be viewed as one of graph-based methods, but it regards input-t0-class mapping as vertices, and the edges represent the relations both together in context and in sense.
|Related Work
Mihalcea (2005) proposed graph-based methods, whose vertices are sense label hypotheses on word sequence.
In this work, we present a semi-supervised graph-based approach for generating new translation rules that leverages bilingual and monolingual data.
|Generation & Propagation
Otherwise it is called an unlabeled phrase, and our algorithm finds labels (translations) for these unlabeled phrases, with the help of the graph-based representation.
Our work introduces a new take on the problem using graph-based semi-supervised learning to acquire translation rules and probabilities by leveraging both monolingual and parallel data resources.
|Related Work
Recent improvements to BLI (Tamura et al., 2012; Irvine and Callison-Burch, 2013b) have contained a graph-based flavor by presenting label propagation-based approaches using a seed lexicon, but evaluation is once again done on top-1 or top-3 accuracy, and the focus is on unigrams.
|Related Work
(2013) and Irvine and Callison-Burch (2013a) conduct a more extensive evaluation of their graph-based BLI techniques, where the emphasis and end-to-end BLEU evaluations concentrated on OOVs, i.e., unigrams, and not on enriching the entire translation model.
|Related Work
aged to have similar target language translations, has also been explored via a graph-based approach (Alexandrescu and Kirchhoff, 2009).
|Related Works
Both the graph-based (McDonald et al., 2005a; McDonald and Pereira, 2006; Carreras et al., 2006) and the transition-based (Yamada and Matsumoto, 2003; Nivre et al., 2006) parsing algorithms are related to our word-pair classification model.
|Related Works
Similar to the graph-based method, our model is factored on dependency edges, and its decoding procedure also aims to find a maximum spanning tree in a fully connected directed graph.
|Related Works
From this point, our model can be classified into the graph-based category.
|Word-Pair Classification Model
Previous graph-based dependency models usually use the index distance of word 7' and word j
|A Multigraph Model
Work on graph-based models similar to ours report robustness with regard to the amount of training data used (Cai et al., 2011b; Cai et al., 2011a; Martschat et al., 2012).
|Conclusions and Future Work
We presented an unsupervised graph-based model for coreference resolution.
In this paper we present a graph-based approach for coreference resolution that models a document to be processed as a graph.
|Related Work
Graph-based coreference resolution.
|Related Work
While not developed within a graph-based framework, factor-based approaches for pronoun resolution (Mitkov, 1998) can be regarded as greedy clustering in a multigraph, where edges representing factors for pronoun resolution have negative or positive weight.
DWSA stands for Dijkstra-WSA, the state-of-the-art graph-based alignment approach of Matuschek and Gurevych (2013).
However, not all lexical resources provide explicit semantic relations between concepts and, hence, machine-readable dictionaries like Wiktionary have first to be transformed into semantic graphs before such graph-based approaches can be applied to them.
|Related Work
Last year Matuschek and Gurevych (2013) proposed Dijkstra-WSA, a graph-based approach relying on shortest paths between two concepts when the two corresponding resources graphs were combined by leveraging monosemous linking.
|Resource Alignment
The structural similarity component, instead, is a novel graph-based similarity measurement technique which calculates the similarity between a pair of concepts across the semantic networks of the two resources by leveraging the semantic
Second, we use two graph-based summarization approaches, Generalized ClueWordSummarizer and Page-Rank, to extract sentences as summaries.
Third, we propose a summarization approach based on subjective opinions and integrate it with the graph-based ones.
|Related Work
Finally, we did not compared CWS to other possible graph-based approaches as we propose in this paper.
|Summarization with Subjective Opinions
Other than the conversation structure, the measures of cohesion and the graph-based summarization methods we have proposed, the importance of a sentence in emails can be captured from other aspects.
We develop graph-based ranking models that automatically select the best output from multiple redundant versions of translations and edits, and improves translation quality closer to professionals.
Using the raw translations without post-editing, our graph-based ranking method achieves a BLEU score of 38.89, compared to Zaidan and Callison-Burch (2011)' s reported score of 28.13, which they achieved using a linear feature-based classification.
In contrast, our proposed graph-based ranking framework achieves a score of 41.43 when using the same information.
0 A new graph-based algorithm for selecting the best translation among multiple translations of the same input.
|Connotation Induction Algorithms
Limitations of Graph-based Algorithms
|Connotation Induction Algorithms
Although graph-based algorithms (§2.l, §2.2) provide an intuitive framework to incorporate various lexical relations, limitations include:
|Connotation Induction Algorithms
Addressing limitations of graph-based algorithms (§2.2), we propose an induction algorithm based on Integer Linear Programming (ILP).
|Experimental Result I
The [OVERLAY], which is based on both Pred-Arg and Arg-Arg subgraphs (§2.2), achieves the best performance among graph-based algorithms, significantly improving the precision over all other baselines.
|MUSE — MUltilingual Sentence Extractor
In contrast, representation used by the graph-based methods (except for TextRank) is based on the word-based graph representation models described in (Schenker et al., 2004).
|Related Work
Today, graph-based text representations are becoming increasingly popular, due to their ability to enrich the document model with syntactic and semantic relations.
|Related Work
(1997) were among the first to make an attempt at using graph-based ranking methods in single document extractive summarization, generating similarity links between document paragraphs and using degree scores in order to extract the important paragraphs from the text.
|Related Work
Erkan and Radev (2004) and Mihalcea (2005) introduced algorithms for unsupervised extractive summarization that rely on the application of iterative graph-based ranking algorithms, such as PageRank (Erin and Page, 1998) and HITS (Kleinberg, 1999).
|Related Work
There were also many works employed graph-based method (Li et al., 2012; Zhang et al., 2010; Hassan and Radev, 2010; Liu et al., 2012), but none of previous works considered confidence of patterns in the graph.
|The First Stage: Sentiment Graph Walking Algorithm
In the first stage, we propose a graph-based algorithm called Sentiment Graph Walking to mine opinion words and opinion targets from reviews.
|The First Stage: Sentiment Graph Walking Algorithm
We can see that our graph-based methods (Ours-Bigraph and 0urs-Stage1 ) achieve higher recall than Zhang.
In such situation, the graph-based ranking algorithm in the second component will be apt to be affected by the frequency information, so the final performance could not be sensitive to the performance of opinion relations iden-
|Opinion Target Extraction Methodology
To extract opinion targets from reviews, we adopt the framework proposed by (Liu et al., 2012), which is a graph-based extraction framework and
|Opinion Target Extraction Methodology
In the second component, we adopt a graph-based algorithm used in (Liu et al., 2012) to compute the confidence of each opinion target candidate, and the candidates with higher confidence than the threshold will be extracted as the opinion targets.
We introduced a new general-purpose graph-based summarization framework that combines a submodular coverage function with a non-submodular dispersion function.
We propose a very general graph-based summarization framework that combines a submodular function with a non-submodular dispersion function.
|Related Work
Graph-based methods have been used for summarization (Ganesan et al., 2010), but in a different context—using paths in graphs to produce very short abstractive summaries.
The second block shows results from other kinds of parsing approaches (e.g., graph-based parsing, ensemble parsing, linear programming, dual decomposition).
Our parser gives a comparative accuracy to Koo and Collins (2010) that is a 3rd-order graph-based parsing approach.
Nivre and McDonald (2008) uses an ensemble model between transition-based and graph-based parsing approaches.
We present a novel, graph-based approach using SimRank, a well-established vertex similarity algorithm to transfer sentiment information between a source language and a target language graph.
|Bilingual Lexicon Induction
Two examples of such methods are a graph-based approach by Dorow et al.
|Bilingual Lexicon Induction
In this paper, we will employ the graph-based method.
|Dependency parsing
For dependency parsing, there are two main types of parsing models (Nivre and McDonald, 2008; Nivre and Kubler, 2006): transition-based (Nivre, 2003; Yamada and Matsumoto, 2003) and graph-based (McDonald et al., 2005; Carreras, 2007).
|Dependency parsing
In this paper, we employ the graph-based MST parsing model proposed by McDonald and Pereira
|Dependency parsing
In the graph-based parsing model, features are represented for all the possible relations on single edges (two words) or adjacent edges (three words).


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Police are investigating after shots were fired on Cooper Street just after 9 a.m. Friday morning.
There was damage to a building but no one was injured in what police said was a confirmed shooting.
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Many businesses are not aware that they have a problem until a disciplinary situation or worse, a tribunal case comes up. Keep on top of it with a professional audit of your current policies and procedures. We give you an effective framework including on site support for managing employees. Services we provide:
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text:
- This event has passed.
Three-Minute Thesis event
February 28, 2019 @ 3:00pm
For a fifth straight year a group of graduate students from Montana State University will give the public a chance to hear their 80,000-word thesis projects presented in only 180 seconds each.
MSU's Norm Asbjornson College of Engineering will host the Three-Minute Thesis event on Thursday, Feb. 28, from 3 to 4 p.m. in the Procrastinator Theater in the Strand Union Building.
The seven finalists chosen for the 3-Minute Thesis competition at MSU come from disciplines across the engineering college. They will try to explain, very concisely, how their research affects the average person. Contestants condense their research into a brief, engaging presentation for a non-specialist audience, using only a single presentation slide as a visual aid.
This year's finalists are:
- Matt Skuntz, "The Driving Force of Nature"
- Arda Aykel, "Ensuring Storage of CO2 in the Subsurface to Save the Planet"
- Reha Abbasi, "3D Printing of Bacteria for Better Future"
- Greg Hess, "Analysis and Implementation: Converging Intent-based Production and High-speed Research Networks"
- Matt Bell, "Modeling Risk of Wildlife-vehicle Collisions"
- Humberto Sanchez, "Drop-based Microfluidics: Studying Viral Evolution at the Single Cell Level"
- Schamali Jayartne, "Studying Fluids to Improve the Consumer Experience"
Three Minute Thesis is a research communication competition developed by the University of Queensland in Australia. For more information, visit www.threeminutethesis.


text:
Horses Helping Humans Heal
We provide confidential, personalized coaching in a family friendly environment!
We provide confidential, personalized coaching in a family friendly environment!
Welcome to H&H Ranch where owners Brad & Lindsay Hall, along with their human and horse family, encourage you to join in and be part of the relaxing, country experiences.
Here at the ranch, we are proud to offer our little piece of paradise to others in need. Specializing in horses helping humans with personal growth and development, we also offer beginner lessons, pony rides, horse sales as well as boarding and part boarding options.
Contact us for more details about ranch fun!
Through training with EAL Canada, Lindsay has attained the distinction of Certified Coach in Equine Assisted Personal Development and is ready to share her knowledge and expertise with those in need.
Along with her horses, Lindsay is prepared to help others work through past and present challenges in areas including but not limited to: Directional Hurdles; Past Hurt and Trauma; Youth & Teen Challenges; Pregnancy and Postpartum; Family Dynamics; Health Concerns; PTSD and Obstacles specific to Emergency and Military Services.
As a former firefighter and through life experiences, as well as her certification as an EAL coach, Lindsay is familiar with trauma and the effects on first responders, victims of crime and abuse, bullying, anxiety, and depression, which may flow negatively through the family unit.
Our focus on personal growth and development is top priority. Through self discovery, with the horse's aid in feeling emotion and internal balance, EAPD will assist with working through challenges, confidence building, leadership, and problem solving to improve ones mental and physical health.
In individualized and confidential sessions we strive to ensure your safety and ability to work through whatever you may need assistance with.
The patriarch of the family, Brad brings his calm and gentle demeanor as well as handy man skills to the team.
The coach and matriarch, brings her passion of horses and helping people into the vision that is H&H Ranch.
Twins, Reese and Lily, sum up the two legged family bring as much fun as possible to this crazy crew!
"Shelleys Stella"- AVAILABLE FOR ADOPTION
Percheron Mare
Used for EAL & wagon/sleighs
"High Plains Lightning"
Registered Clydesdale Mare
Used for EAL, Beginner Lessons, Pony Rides, Wagons/Sleighs
"Memphis Blues"
Draft X Gelding
Used for EAL, Beginner Lessons, Pony Rides.
Brad's Horse
Draft X Gelding
Please see "Horses Available" page for more information on Bronx
"Charlotte Littlefoot"
AQHA Mare
Used for EAL
Lindsay's Horse
"LuvLee Zorra Ray"
APHA Mare
Used for EAL and beginner lessons
"Canadian Willow"
Draft X Filly by APHA, Utahs Morning Glory out of Percheron, Shelleys Stella.
Right now this curious filly is a pretty pasture ornament but stay tuned for the fun and excitement as she grows!
"Charlottes Webb"
2019 APHA Colt by Utahs Morning Glory out of Charlotte Littlefoot
Please see "Available Horses" for more information on Webb.
"Pipers OnFire"
POA Mare
Used for EAL, Beginner Lessons, and Pony Rides
Reese's Pony
"Vegas SmokeShow"
Fjord X Mare
Currently in Training
Fjord X Mare
Currently in Training
"Nadors Labeled Mahala of PSF"
Registered American Sport Pony- Shetland
used for EAL, Lessons, Pony Rides and Nursing Home Visits.
"Daisy Duke"
Shetland Mare
Used for EAL, Beginner Lessons, Pony Rides
Lily's Pony
"Shermans Tank"
Shetland Mini X Gelding
Used for Nursing Home visits.
Lily's Pony
"Pedro Yeehaw"
Donkey John
Used for EAL and Herd Protection
Be the first to hear about upcoming course registration and special events.


text:
Yakuza 3: Part 1
Watch in awe as the world's least interesting gangsters faff about.
Space Marine
To quote the only piece of Ork dialogue in the game, "Spacemarine!"
Legend of the Guardians
Graham and Paul like the part where the owls talk like people.
Death. Not even once.
XCOM: Enemy Unknown
Paul and Graham give you a great view of the alien invasion.
Marlow Briggs and the Mask of Death
Don't worry it was just a light stab wound.
Dark Void
A game named after the act of using the toilet with the lights off, yay!
Sonic the Hedgehog
Everyone's favorite hedgehog teleports into someone else's game.
Infernal: Hell's Vengeance Part One
When you used to be an angel, everything sucks. Especially the textures.
Asura's Wrath, Part 2
Hack The Planet (Into Pieces!)
Monster Hunter Tri
A cinematic that really makes a year of grinding look more appealing. But not by much.
Call of Duty: Black Ops
Regardless of our comments herein, any game that can be contracted to "COD BLOPS" is all right with us.
Cabela's Survival: Shadows of Katmai
If anyone needs Graham & Paul, they'll be hiding in their duck blind.
Dark Souls 2
Death, doom, and creepy old women. Also, creepy giant fireflies.
Killer is Dead
Somehow, I think the Moon is behind all this killing.
Bound by Flame - Zombies Be Scoutin'
Zombie scouts can't be the most reliable scouts.
Zoids Assault
Courtroom sketches finally get their own game.
InFamous Second Son, Part 2
Delsin can't catch a break, but he can sure as hell break stuff.
The Amazing Spider-Man, Part One
Graham and Paul take you through the hallowed halls of Ocsorp.
Saints Row IV
Graham and Paul get inducted into the Saints and bring us along for the ride.
Tom Clancy's Ghost Recon Advanced Warfighter 2
You have been tasked with the simple task of saving the free world. No pressure.
Mafia II
Paul and Graham try to avoid sleeping with the fishes
DarkStar One: Broken Alliance
So what does an Escort Pilot do, anyway?
Aliens: Colonial Marines
This week we learn how to avoid danger by ignoring distress calls.
God of War: Ascension
Kratos once again finds himself in a bit of a sticky situation.
BEYOND: Two Souls
Graham and Paul go beyond with BEYOND: Two Souls.
The Saboteur
The sights... in France aren't the only point of interest for an Irishman.
Dead Space 2
Isaac is back, and he has a voice now. We expect he'll use it to do a lot of screaming.
Epic Mickey 2: The Power of Two
Graham and Paul take you back into the into the cartoon world of Oswald, the lucky rabbit. Joy.
Tom Clancy's Splinter Cell: Blacklist
Graham and Paul jump on the grenade for you and enter the sandy world that is Splinter Cell.
Does a world full of blue cat people really need another army dude?
Fable III
The best morality-based poultry simulator since BioCluck.
Call of Juarez: The Cartel
Answer the call of Juarez.
Captain America
It's important to accessorize and shields go with everything.
Yakuza 4 - Part 2
The ongoing adventures of Japan's slowest paced gangsters.
Lost Planet 2: Part 1
The sequel to the pilot episode! And yet, the armadillo...
Venetica: Part 2
Sure, you may not like your parents some times, but at least your dad isn't Death.
Dungeon Siege 3
A tale of rebellion, intrigue and pointedly complete names.
Unskippable: Lord of the Rings: War in the North
Featuring all the LotR characters you love... mentioned in vague references, while you play as a bunch of[…]
Fist of the North Star: Ken's Rage
What happens when a man knows only punching? This, apparently.
Such an angry name for such a benign game.
The Evil Within
Everyone I've talked to is super dead.
White Knight Chronicles Part 1
A kingdom of people with silly names come under threat from other silly names.
When Korea takes over America, they also kind of lose.
Knights Contract
Zombie-proof chest sounds like a great thing to have.
Assassin's Creed: Revelations - Part One
The further adventures of Blandy McBlanderson and his friends with swords.
Ninja Gaiden 3
If "gaiden" means "side-story", what the hell is the main story?!
Mini Ninjas
They're not that impressive, really. We've seen smaller.
Clash of the Titans
The game may be in actual 3D, but that doesn't make better than the movie.
Drakengard 2
Graham and Paul step through their PS2 portal. That was their first mistake.
Sacred 3 - Fantasy Power Rangers
Let's all stand around a table and discuss the ills of the land.
Two Worlds 2
Does this make it four worlds? Would four worlds even be better? We don't think so.
Max Payne 3, Part 2
Graham and Paul were like two startled gophers ... they also didn't understand this scene.
Wolfenstein: The New Order - War is Hell
Why is everything on fire in this game?
Firestorms erupt all over the world, and our only hope is a frozen guy.
Space westerns that you might forget occur in space.
Front Mission Evolved
When you absolutely need mechanized military support, just call Programmer Guy and Valley Girl.
Socom 4 makes walls fun for everyone.
Hitman Absolution
Agent 47's super secret assassination organization must work with some sort of super secret stamp[…]
Time & Eternity, Part 2
Some weddings get Super Saiyan pretty damned quick.


text: Boone Grove's 7th-grade boys' basketball team will be competing in this weekend's South County tournament held at Kouts. Boone Grove will play against Kouts at 8 AM. If they win they will play at 11 AM, if they lose they will play at 10 AM. Tickets will be $4 for the whole day. No PCC passes will be accepted.


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When Governments Cooperate - State Government Municipal Day
Our 2019 workshops are in the books - thank you for another successful year of collaboration between State and Local governments!
When Governments Cooperate, sponsored by the VT Agency of Natural Resources, is an annual training offering a wide variety of workshops and giving you the opportunity to engage with State and municipal colleagues. Our aim is to meet people where they are by holding training opportunities at our regional offices, close to where you live and work. Flexible registration is offered at several locations so those who aren't able to attend for a full day still have an opportunity to participate.
Full-day registration is $25 and includes lunch. Half-day registration is $15 and includes snacks.
Click on the name of each town below to see the agenda and presentation information.
- Wed, Oct 23, 2019 - Springfield.
- Fri, Oct 25, 2019 - Montpelier [Plenary session with State Climatologist Lesley-Ann Dupigny-Giroux PowerPoint presentation opens as a pdf / recording by ORCA, the local access channel, open in a new window]
- Thurs, Oct 31, 2019 Rutland
- Thurs, Nov 7, 2019 - Essex Junction
2019 informational packet handouts are available electronically
Links below open as a pdf in a new window
Dam Safety Workshop Information
Surplus Property Programs (State and Federal)
Flood Ready Flyer
Making Room for Rivers
River Easement Brochure
CARE Brochure (Citizen Assistance Registry)
Shoreland Protection Act Summary
Lakeshore Property Owner Brochure
Act 250 Online Application and Database
Clean Water Funding Opportunities
If you have questions about this event, contact email@example.com or call (802) 828-1294.
Workshop agendas from previous years
Links below open as a pdf in a new window
2014 (March) State Government Municipal Day Brochure
2014 (November) State Government Municipal Day Brochure
2015 State Government Municipal Day Brochure
2016 State Government Municipal Day Brochure
2017 Agendas for the Montpelier, Rutland and St. Johnsbury sessions
2018 Agendas for the Essex Junction, Montpelier, Rutland and Springfield sessions
2019 Agends for the Essex Junction, Montpelier, Rutland and Springfield sessions


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By Roger E. Pedersen
This e-book is focused for the newbie to intermediate wanna-be video game fashion designer who desires to research a step by step, effortless to stick with means of expressing their strategies via documentation right into a genuine online game writer or a improvement crew can create.
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Sample text
Cat People: A beautiful woman by day transforms into a deadly panther that kills by night. The Cell: A psychotherapist who can enter her patients' minds helps the FBI by probing into a serial killer. Chameleon: A genetically engineered assassin can blend into any background unnoticed. Charlie's Angels: A trio of gorgeous agents solve unusual cases with the help of their manager. Class of Nuke 'Em High: A nuclear spill creates an outbreak of mutants and maniacs in a New Jersey high school. Cliffhanger: Expert professional climbers get unknowingly involved with a murderous group of thieves on a treacherous, snowy mountain.
Die Hard: A New York City vacationing police officer visits his ex-wife in Los Angeles at Christmas when terrorists take over the large Japanese corporation building he is in. Die Hard 2: Die Harder: A New York City vacationing police officer awaiting his ex-wife's arrival at the airport at Christmas confronts terrorists who have control of the airport. Dirty Rotten Scoundrels: Two con men: one is a wealthy, elderly European gentleman who is partners with the local chief of police, and the other is a younger American hustler thought to be "the Jackal," a legendary con artist.
Broadcast News: The inner workings and public persona of the TV network news reporting business and its people (the anchormen, the reporters, and the producers). Buffy the Vampire Slayer: A Los Angeles high school cheerleader is proclaimed a vampire slayer. After training with her mentor, she must terminate an emerging onslaught of vampires. Cat People: A beautiful woman by day transforms into a deadly panther that kills by night. The Cell: A psychotherapist who can enter her patients' minds helps the FBI by probing into a serial killer.


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It is a with pleasure and enthusiasm that I write this letter of introduction to you as a director of Kids Kingdom Academy. I am truly honoured to be a part of the Kids Kingdom Academy group, which has already given me a warm welcome .
In just a few interaction I've with the staff, students and families so far, it becomes abundantly clean that this school is a unique and special place.In the few days that I have been spending getting to know the school is community and familiarizing myself with the Kids Kingdom Academy improvement goals.
In loving so I've learned that Kids Kingdom Academy is a place where strong connection are made between home and school and staff members are committed to developing the whole child.
You will find me in the classrooms and on the playground getting to know your children. My passion has been and always will be educating students. With that in mind you can expect that I will work diligently with teachers to make sure our students are exposed to curriculum and instruction that is both engaging and challenging.
I have an open door policy and welcome your input and ideas. I am looking forward to meet you as we start this new and exciting session together.
Mrs.Kirti Bang , (B.E.,M.ed.)
Founder & Director
Creativity itself doesn't care at all about results - the only thing it craves is the process. Learn to love the process and let whatever happens next happen, without fussing too much about it.
Kids Kingdom Academy - Sonai
Near Yash Petrol Pump,
Ghawate Vasti ,Sonai,
ShaniShingnapur Road,Sonai.
Tal. - Newasa.
Dist. -Ahmednagar.


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Saving and Growth with Habit Formation
Working Paper No 95-42
Posted: 23 Aug 1998
Standard growth models take the form of a representative consumer maximizing an intertemporally separable utility function. We explore the implications of one kind of nonseparability by allowing utility to depend on a comparison of consumption to a "habit stock" determined by past consumption. Our model is consistent with some empirical findings which are problematic for standard models. For example, Carroll and Weil (1994) find that aggregate saving rates increase after increases in the aggregate growth rate, even though growth rates are positively serially correalated; the standard model would predict a decline in saving as consumers spent part of their anticipated higher future income.
JEL Classification: D91, E21, O40
Suggested Citation: Suggested Citation


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Recently launched by Roman Seliger the TX Series Dry Disconnect Coupling will be featured by Kiowa Ltd at the SPE Offshore Show in September.
The coupling consists of two halves each of which is equipped with a disc cut-off valve. Coupling is performed by pushing the male half axially into the female half, the motion creating an impermeable connection. Further rotation by approximately 100º opens the valve by transmitting a sliding action into the centre of the male section, which opens up a ring-shaped flow channel.
During the uncoupling operation, the rotary movement is performed in the opposite direction: the flow channel in both coupling halves is impermeably sealed before the coupling halves can be separated.
- STANAG-compatible.
- Low actuating force.
- Highest flow rates and lowest pressure drops.
- Highest operating pressure.
- stability in rough environments.
- non-projecting piston included in all tank units.
- Easy connection.
- Worldwide quickest maintenance.
- O-ring count reduced.
- High performance swivel.
- Hands on interlock device.
SPE Offshore Europe is from 8th – 11th September, Aberdeen. Come and see us on Stand 4E48 or if you would like some more information on the TX Coupling before then please email firstname.lastname@example.com.


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It came as a bit of a surprise to us, but this weekend is when we'd normally be reveling in downtown Asheville (or, if you're a bit more of the curmudgeon, avoiding downtown Asheville) for the Bele Chere Festival. The festival is gone, but that's no reason to stop the celebrations, because Highland Brewing is throwing a new beer festival this weekend! Taking place in the meadow behind the brewery, the 1st annual Ale Share Beer Festival takes place this Saturday, July 26 from 1-6 pm.
So, what's going to make Ale Share unique in the seeming myriad of festival choices throughout WNC? For starters, 100% of ticket-sale net proceeds will go a very worth cause, and one that Highland holds near and dear to their hearts. Funds will be designated for the Asheville Parks & Greenways Foundation to help develop the planned greenway along the Swannanoa River in East Asheville.
This festival also shows off the best of our WNC regional brewers, showcasing some of the Asheville and surround breweries most talented brewers and their creations. This brewery line up is a veritable who's who of favorite breweries you'll find along the Asheville Ale Trail…currently scheduled to appear are:
- Asheville Brewing Company
- Bear Waters Brewing Company
- Catawba Brewing
- Pisgah Brewing
- French Broad Brewing
- Lookout Brewing
- Lexington Avenue Brewery
- Green Man Brewery
- Oskar Blues
- New Belgium
- Wicked Weed
- Sierra Nevada
- One World Brewing
- Frog Level Brewing Company
- Fonta Flora Brewing
- Foothills Brewing
- Hi-Wire Brewing
- Twin Leaf Brewing
Highland has also provided us with a teaser list of a what brews you can expect to see at the festival, asking each brewer to bring 1 year-round beer, 1 seasonal beer and 1 specialty beer. Here's what we know about so far:
- Pisgah- Greybeard IPA, Summer Ale, Valdez Coffee Stout
- Oskar Blues – Mama's Little Yella Pils, Old Chub Scotch Ale, Deviant Dale's IPA
- New Belgium – Summer Helles, Snapshot, Lips of Faith Wild Dubbel
- Sierra Nevada – Pale Ale, Torpedo, Flip Side, ABA Tater Ridge, Raincheck
- Green Man – ESB, Wayfarer, Leafblower
- French Broad: – Rye Hopper, Gateway Kolsch, Wee Heavier
- LAB – Goat Smoked Saison, First Gear Cream Ale, Hop Burst Pale Ale
- Twin Leaf – 144 (Juicy Fruit) IPA, Equinox Belgian Pale, Mexican Chocolate Stout
- One World Brewing – ESB, Coconut Porter, Inner Thigh IPA
- Frog Level – Cream Ale, Scotch Ale, Brown Ale
- Fonta Flora – Brass Monkey, German Table, Darwin's Forehead
The Pho Ya Belly, Smashbox and Mama Dukes food trucks will all be on site, and the music lineup is as scheduled:
- 1:00-2:30 – Mark Shane,
- 2:45-4:15 – Floating Action
- 4:30-6:00 – The Sufi Brothers, featuring Woody Wood(headlining)
General Admission tickets are $35.00 pp, and V.I.P. tickets, which include a festival t-shirt & 1 hour early entry into festival are $50.00. Designated Driver Tickets are also available for $15.00 per person.
What: Ale Share Beer Festival at Highland Brewing
Where: Meadow at Highland Brewing, 12 Old Charlotte Hwy., Asheville, NC
When: 1-6pm, Saturday, July 26th, 2014
Tickets: Available Online, $35 General Admission, and $50 VIP


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Late Monday afternoon, the Dudley Fire Department along with Wayne County EMS Station 8 Paramedics were dispatched to a traffic accident that involved a motorcycle at the intersection of Old Mount Olive highway and Royal Drive. The driver of the motorcycle was taken to the hospital with non-life-threating injuries.
The motorcycle was heading North on Old Mount Olive Highway approaching the intersection when a car was making a left-hand turn off of Old Mount Olive onto Royal Drive and the rider on the motorcycle applied his brakes trying to avoid a collision with the car.
The driver of the car and a child in the car were not injured in the crash. The rider on the bike was not the owner of the motorcycle and the accident is currently under investigation by the North Carolina Highway Patrol. Firefighters remained on the scene directing traffic through the accident site.


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Overall production efficiency of a department, plant, or division; Overtime as a percentage of total hours; Percentage decrease in inventory carrying costs; Percentage decrease in production to market lead time; Percentage decrease in scrap and rework costs; Percentage decrease
The most common and notable example of this are precious metal values (gold, silver etc.) where the beneficiation process is applied directly on run of mine ores followed by the extraction of gold and in some cases silver as a relatively pure metal within the mineral processing circuit. 2.0 Processing Approach and Method
This high water temperature serves to loosen the connection of feathers to the skin. E. Picking How is a poultry processing plant layout organized to ensure the production of a safe food product? I. Flow of operations Examine the cutout data of chicken cuts and compare to the cost at a grocery store.
Hard metal pumps in series for high abrasion, low pressure Piston pumps for less abrasion, high pressures Plunger pumps for high abrasion, high pressures The transport of highly abrasive slurries at high pressures can require special technology such as the Flowserve synchronized flush system used in specialty plunger pumps.
We can help you develop your plant maintenance and operations to ensure smooth cooperation and coordination between these departments so that they both work toward the common goal of improving reliability and productivity. A holistic approach to operations and maintenance will help you achieve high performance cost efficiently.
O en overlooked is the high cost of organizational complexity the matrix structures with multiple interfaces, the proliferating roles and responsibilities, the many management layers that have built up over the years, and an organization structure that is no longer aligned with a companys manufacturing strategy.
incinerators have been mainly the high cost of investment, and operational and maintenance costs associated with waste incineration. Public concern over air pollution could be countered by application of sophisticated flue gas treatment technologies, which again is highly costly.
plant costs such that they are more aligned to the trend of other EPC cost indices. In this paper liquefaction plant refers to the complete facility to treat and liquefy the gas, store the produced LNG
Complete Plants Process Packaging Plant amp; Equipment At Process Plant and Machinery Limited, we supply various complete plants which includes food processing plants, packaging plants, dairy plants etc. Some of the complete process amp; packaging plants we deal with are as follows 1) Dairy Plants
Maintenance, Repair, and Operations (MRO) in Asset Intensive Industries . February 2013 . Nuris Ismail, Reid Paquin
The main disadvantage to die casting is the very high capital cost. Both the casting equipment required and the dies and related components are very costly, as compared to most other casting processes. Therefore, to make die casting an economic process, a large production volume is needed.
119 The performance of a process heating system is determined by its ability to achieve a certain product 120 quality under given manufacturing requirements (for
Overall production efficiency of a department, plant, or division; Overtime as a percentage of total hours; Percentage decrease in inventory carrying costs; Percentage decrease in production to market lead
Operating Costs of Gold Processing Plant. Note the reduction in milling costs through the use of the new flowsheet which includes an 8 cell Sub A Flotation Machine. The savings made in lower operation costs and lower maintenance costs are noticeable and this saving was also made in the face of a 12.5% increase in wages made when the new plant was started.
In the U.S., over 70 assembly plants currently produce 13 million cars and trucks each year. In assembly plants, energy expenditures is a relatively small cost factor in the total production process. Still, as manufacturers face an increasingly competitive environment, energy efficiency improvements can provide a means to reduce costs without
In 11 cases, production of similar products takes place both in the high cost and the low cost country. Location decisions are thus not necessarily characterized by the idea that manufacturing takes place in either a low cost or a high cost country. Another key variable is vertical integration. In this context vertical integration pertains to whether the final stage of production is outsourced or done in house.
1 Over the past 15 years, mine to mill studies have focused attention on the impact blast fragmentation has on concentrator throughput. Blasting provides the first opportunity for comminution or size reduction. It is also a cheaper and more efficient process, compared to both crushing and grinding.
Metal cans for almost every need. From family size to institutional, Silgan cans are used to contain some of America's most recognizable food, beverage and pet food brands. Every year, Silgan produces approximately 15 billion metal food containers at numerous manufacturing plants across the country.
The Equipment Cost Calculator is an online, interactive version of the Mine amp; Mill Equipment Estimator's Guide that allows you to change the parameters for calculating hourly costs, such as repair labor, diesel fuel, gasoline, natural gas, electricity and lubricants. This Calculator will allow equipment estimates in locales outside North America.
costs. Cleaning is a physio chemical process involving a number of factors. In food processing operations soils and deposits originate from the ingredients used in the prepa ration of the product. These soils include the following Not all the deposits mentioned pose a serious risk; however, all create a
ESTIMATING SHEET METAL FABRICATION COSTS A Step By Step Guide to Understanding How Fabricated Parts which keeps the equipment costs high. Oxygen or nitrogen gas helps with a faster, cleaner cut, but the costs breakeven with the faster there might be several set ups to complete a finished parts. Good sheet metal fabricators reduce costs
GOLD PROCESSING PLANTS. Portable placer gold processing plants for alluvial mining, screen deck classifying jigs for alluvial dredging and mining, self contained gold processing plant, fine gold recovery, gold processing plants, gold processing plant, mine plant, mining plant, mining plants, placer gold recovery plant, gold processing plants, GOLD, PROCESSING, PLANTS.
SSP offers complete line for fruit processing and concentration. This plant is for processing of fruits like mango, orange, apple, pears, etc. and for making juice concentration, paste, jam, jelly, ketchup, etc. The plant size ranges between 1 Ton/day to 200 Ton/day or even more depending on availability of fruits.
A Peque241;o Minero permit allows for Mining claims of up to 2000 Hectares with a Maximum Plant Capacity 350 tons per day; In Chile A Minero Artesanal license allows a Maximum Plant Capacity of 50 tons per month; A Peque241;o Minero permit allows for a Maximum Plant Capacity 275 tons per day; 911MPE has the small process mining equipment for you.
If drill and blast costs need to be increased to improve the quality of fragmentation, these costs are far outweighed by the reduction in mill operating costs typically 7 to 10 times any increase in mine costs. At the same time, the concentrator must be prepared to take advantage of the much improved, higher quality feed material.
Process Packaging Plants amp; Equipment At Process Plant and Machinery Limited, we supply various complete plants which includes food processing plants, packaging plants, dairy plants etc. Some of the complete process amp; packaging plants we deal with are as follows


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Business events at Miller center at Middle Country library
The Miller Business Resource Center at the Middle Country Public Library will host several free events that are open to the public next week and early next month.
The business center will hold a seminar "LLCs, LLPs, DBAs & More: The Alphabet Soup of Entity Selection" on Sept. 26 from 8:30 a.m. to 10 a.m. at the library, on 101 Eastwood Blvd. in Centereach.
Attendees will learn from a corporate attorney about the pros and cons of various entity types, and how to decide which makes sense for a business. The program will also address why so many businesses incorporate in Delaware. Advance registration is requested. To register, visit www.millerbusinesscenter.org/spotlight/.
The center will also hold a "Business Bites" event about website design, search-engine optimization and other related topics on Sept. 27 from 8:30 a.m. to 10 a.m. Attendees can network and enjoy tasty "bites" a half-hour before the program begins. For more information, visit: www.millerbusinesscenter.org/bizbites/.
This year's annual Women's Expo will be held Oct. 5 from 11 a.m. to 6 p.m. The event will showcase products from dozens of Long Island female entrepreneurs, including handmade goods, jewelry, specialty foods, clothing, art, pottery and other crafts. For more information, visit womensexpoli.org or call 631-585-9393, ext. 296.


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Use 'Join Server' above to join this community.


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With ever-rising costs of houses, cars, bills and university fees, it's important to think about your child or grandchild's future.
With this in mind, we've been looking into the best way to save for their future, with a low-risk and low-cost way of saving up and building a nest egg. Our favourite choice is the Junior ISA available at Shepherd's Friendly, with the excellent cash bonuses and growth potential.
Why a Junior ISA?
A Junior ISA's tax rules are exempt from capital gains tax aswell as income tax, making this a great tax-efficient choice since all of your growth and withdrawals are tax-free. This also means that when they reach 18, they can either withdraw tax-free, or move the cash over to an adult ISA and continue saving.
Shepherd's Friendly's Junior ISA isn't affected by low savings rates, unlike cash Junior ISAs. Instead, it's invested in different assets such as low-risk property, bonds and deposits; increasing the potential to grow! To add to this, Shepherd's Friendly aim to add an annual bonus, which will never be taken away.
You can make as many changes to payment as you like throughout the plan, whether that be altering monthly payments, starting, stopping or adding extra money. That means you don't have to worry about a reliable income- you can stop payments whenever you like as a safety net.
Once the plan has been opened, anyone can make payments into it. This is perfect for gift contributions around birthdays and special occasions.
Why Shepherd's Friendly?
Shepherd's Friendly have paid an annual bonus every year since they launched their Junior ISA, proving them as an ideal company to save with.
We think it's important to speak to a real person if we need help, which is another reason to choose Shepherd's Friendly, since it's so easy to change payments are ask for help with a friendly and helpful staff member. Plus, since they're a mutual, there are no shareholders to pay dividends to- meaning more goes to your child; and they're entitled to a share of the profits too.
How to open their Junior ISA
It's so easy to open a Junior ISA, plus if you do you can get a Love2Shop voucher code worth up to £30! You can open a plan in minutes, where you can simply choose between Direct Debit payments from just £10 or a single deposit from £100 to set your child up for the future.
If you'd like to open a Junior ISA to help your child, or learn more about them, simply click here.


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Baby et Lulu is the ARIA-nominated, 'must-see act that will seduce your ears with its chansons' (The Weekend Edition). Faux-French sensations Abby Dobson and Lara Goodridge, and their prodigiously talented band, launch their much anticipated third album, 'Album Trois'. They bring their infectious joy to the stage once more, touring the country performing songs in French in a celebration of love, life and passion… with a sultry, sometimes outrageous French accent.
The irresistible musical partnership, which has been seducing audiences nationwide over the course of three albums with their femme fatale glamour and très witty banter, return with their latest selection of classic and contemporary chansons including Piaf, Gainsbourg, Chevalier, Aznavour, Stromae, Trenet and more, as well as their own original compositions written in French.
Don't miss these two sassy and playful characters, with their extraordinary band, who will have you dancing in your seats in a veritable celebration of la vie française.
"It is impossible not to be charmed by the hypnotic voices of Baby and Lulu" Arts Hub
"Dobson and Goodridge had the seated audience eating out of the palms of their hands... and pranced off stage to the sounds of a standing ovation
[email protected]


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We partner with leading companies such as Cisco, VMware, and Microsoft to make collaboration while remote that much easier
Reduce the cost and complexity of technology and provide a more agile and intuitive way of working.
During these turbulent times, with so many businesses disrupted and employees working from home, Zones can help you accommodate remote workers with our wide range of products and services.
Our IT experts can help you quickly implement, deploy, and train your team on new remote work collaboration tools. Plus, we can help your employees better leverage the remote work tools they already have to make sure your entire organization stays productive.
Microsoft Teams
When implementing a remote-working program, invest in software that makes it easy to store, organize, and share files, so you and your team can work on documents in and out of office. With real-time editing capabilities, you no longer have to hassle with the back-and-forth of email. In the software, make sure you can easily create notes, respond to questions, and log updates right on the document for the benefit of your entire team.
As you're determining how to set up communications across your remote team, consider instant messaging and video software. Why? Instant messaging allows you to quickly communicate with your colleagues, while voice and video services are great for longer obligations, like meetings. In fact, an upfront investment in chat services can even reduce future call and meeting costs.
From now until June 30th, Zones is discounting the following software, applications, consulting, and training.
Cisco Webex Calling allows you to locally connect your existing PSTN service to the Webex cloud through the use of Cisco-approved gateways. Calls are securely encrypted to ensure your workers are in compliance with any privacy requirements. Talk to us and see if you qualify for a 3-month free trial of Webex, starting today!
We can help you to expand and enhance your existing Webex deployments and Cisco UC phone systems to optimize the capabilities of your remote work teams. Reach out to us today, and we'll work with you to design a customized solution that meets your business needs.
Anyone using Webex Teams can start a meeting with the touch of a button. Send important information via direct and team messages, where they can be read and responded to right away—or flagged for follow up later.
File sharing and screen sharing in a space is quick and simple. And the files you receive are neatly organized, searchable, and saved right alongside all of your communication.
Whiteboard or draw on your phone or any device, and share the interactive drawing in chat. Keep iterating whether or not you're in a live meeting.
Get the very best in multi-platform endpoint management from VMware Workspace ONE, a digital platform that makes it easy to manage any app, on any device, with complete access control. Workspace ONE is built on unified endpoint management technology and integrates smoothly with virtual application delivery solutions, such as VMware Horizon.
Workspace ONE 30 Day Free Trial
Those customers who want to leverage our mobility solutions can try Workspace ONE for 30 days free of charge. Can be extended by EUC Sales upon request for up to 6 months.
Horizon Cloud Microsoft Azure gives organizations the ability to connect their own instance of Microsoft Azure to the incredibly intuitive Horizon Cloud control plane, creating a secure, comprehensive cloud-hosted solution for delivery virtualized Windows applications and desktops. The solution brings VMware virtual applications and desktops to Microsoft Azure global data center regions while offering customers all the benefits of Horizon Cloud, including automated service updates and an intuitive management interface.
When IT administrators tap into the virtualization benefits of VMware Horizon 7, it opens a world of possibilities. End users are no longer restricted to one specific machine, as they can access their systems and files across multiple devices and locations. And for administrators, the process of managing end users becomes far simpler, as they can easily create virtual desktops on-demand based on each user's location and profile.
A single administration console provides detailed levels of control, allowing you to customize the end-user experience, access, and personalization to support corporate policy. End users get a familiar, personalized environment that they can access from any number of devices anywhere throughout the enterprise or from remote locations. And as an administrator, you have centralized control, efficiency, and security by storing desktop data in the data center.
45 Days free - (VDI) and applications as a remote workforce solution, we are offering Horizon Cloud on Microsoft Azure for 45 days free of charge.
Zones can help – after all, collaboration is one of our specialties. Here's some of what our experts can do for you:
We can help you deploy the latest collaboration tools from leading partners like Microsoft, Cisco, and VMware.
We can train your team on how to best leverage these collaboration tools, as well as help manage the transition away from your legacy solutions.
As your team goes about using these tools, we can deliver support on an ongoing basis, making sure your team members are continually set up for success, no matter where they're working.
In the event that your companies IT resources are bogged down, Zones service desk is open 24/7 for technical support.


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In WODPosted
Saturday, August 12th
Some people's kids….. 🙂
Some people's kids….. 🙂
Melissa staying hydrated and fashionable with her hydro-fanny pack!
Derek making his peace with the rope!
Momma Mia crushing her fitness!
Alix with weight overhead!
A Renee siting at CFNG, all smiles of course!
Randi working on her modified rope climbs!
He's baaaaaaack! Welcome back, Park!
6:30pm guys having some fun with Tabata!