Discourse Parser 2014


Notes:

  • argument mining
  • discourse processing system

See also:

100 Best Discourse Analysis VideosComputational DiscourseComputational Discourse AnalysisDiscourse Analysis & ChatbotsDiscourse Parser 2013 | Discourse Unit & Dialog Systems | Rhetorical Parser


A PDTB-styled end-to-end discourse parser Z Lin, HT Ng, MY Kan – Natural Language Engineering, 2014 – Cambridge Univ Press Abstract Since the release of the large discourse-level annotation of the Penn Discourse Treebank (PDTB), research work has been carried out on certain subtasks of this annotation, such as disambiguating discourse connectives and classifying Explicit or Implicit relations. … Cited by 81 Related articles All 33 versions

Dependency-based Discourse Parser for Single-Document Summarization Y Yoshida, J Suzuki, T Hirao, M Nagata – 2014 – aclweb.org Abstract The current state-of-the-art singledocument summarization method generates a summary by solving a Tree Knapsack Problem (TKP), which is the problem of finding the optimal rooted subtree of the dependency-based discourse tree (DEP-DT) of a document. … Cited by 1

Recursive deep models for discourse parsing J Li, R Li, E Hovy – Proceedings of the 2014 Conference on Empirical …, 2014 – aclweb.org … We present related work in Section 2 and de- scribe the RST Discourse Treebank in Section 3. The sentence convolution approach is illustrated in Section 4 and the discourse parser model in Sec- tion 5. We report experimental results in Section 6 and conclude in Section 7. … Cited by 2

Inducing Discourse Connectives from Parallel Texts M Laali, L Kosseim – The 25th International Conference on …, 2014 – aclweb.org … Discourse parsers (eg (Lin et al., 2010)) often use DCs as a powerful distinguishing feature to tag discourse relations (Pitler and Nenkova, 2009). … non-discourse usage of German DCs were annotated and built a discourse parser from the corpus. … Cited by 1

Text-level discourse dependency parsing S Li, L Wang, Z Cao, W Li – Proceedings of the 52nd Annual Meeting of …, 2014 – aclweb.org Page 1. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 25–35, Baltimore, Maryland, USA, June 23-25 2014. cO2014 Association for Computational Linguistics Text-level Discourse Dependency Parsing … Cited by 1

Single document summarization based on nested tree structure Y Kikuchi, T Hirao, H Takamura… – Proceedings of the …, 2014 – ling.uni-potsdam.de … David duVerle and Helmut Prendinger. 2009. A novel discourse parser based on support vector machine classification. In IJCNLP, pages 665–673. … 2010. Hilda: A discourse parser using support vector machine classification. Dialogue & Discourse, 1(3):1–30. … Cited by 1

Splitting Arabic Texts into Elementary Discourse Units I Keskes, FB Zitoune, LH Belguith – ACM Transactions on Asian …, 2014 – dl.acm.org … ar- gument of a coherent relation. Identifying EDU boundaries is thus an important first step in discourse parsing, since a wrong segmentation degrades the performances of discourse parsers. For instance, Soricut and Marcu … Cited by 1

Sentiment Variations in Text for Persuasion Technology L Gatti, M Guerini, O Stock, C Strapparava – Persuasive Technology, 2014 – Springer … messages using google adwords. In: Proceedings of ACL 2012, pp. 988–996 (2012); Hernault, H., Prendinger, H., Ishizuka, M., et al.: HILDA: a discourse parser using support vector machine classification. Dialogue & Discourse 1 … Cited by 1 Related articles

Critical discourse analysis–a method of anticipating economic crisis D Gîfu, C Andrei – Topical Communication Uncertainties, 2014 – books.google.com … We incorporated them in our tool because they offer a variety of features for discourse analysis. These 5 web services1 are: Discourse Parser, PoS Tagger, NP Chunker, Dependency Parser, Clause Splitter, all for Romanian, developed by Radu Simionescu. … Cited by 1

A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing VW Feng, G Hirst – learning.cs.toronto.edu Abstract Text-level discourse parsing remains a challenge. The current state-of-the-art overall accuracy in relation assignment is 55.73%, achieved by Joty et al.(2013). However, their model has a high order of time complexity, and thus cannot be applied in practice. In … Cited by 3 Related articles All 3 versions

Building A Language-Independent Discourse Parser Using Universal Networking Language SC Navaneethakrishnan… – Computational …, 2014 – Wiley Online Library Abstract Discourse parsing has become an inevitable task to process information in the natural language processing arena. Parsing complex discourse structures beyond the sentence level is a significant challenge. This article proposes a discourse parser that … Related articles

Sanskrit Parser Generator S Malik, L Kalra, R Arora, S Tanwar – rohitarorainfo.com … Similar to RST, in Sanskrit literature, a concept known as sangati exists which expresses continuity between texts. Using sangati and RST, in this paper, two parsers are discoursed namely, sangati based discourse parser and RST-Sangati based discourse parser. …

MultiDPS–A multilingual Discourse Processing System DA Anechitei – COLING 2014, 2014 – aclweb.org … anechitei@ info. uaic. ro Abstract 1This paper presents an adaptable online Multilingual Discourse Processing System (Mul- tiDPS), composed of four natural language processing tools: named entity recognizer, anapho- ra resolver, clause splitter and a discourse parser. …

Towards Cross-Domain PDTB-Style Discourse Parsing EA Stepanov, G Riccardi – … of the 5th International Workshop on Health …, 2014 – aclweb.org … Abstract Discourse relation parsing is an impor- tant task with the goal of understanding text beyond the sentence boundaries. With the availability of annotated corpora (Penn Discourse Treebank) statistical discourse parsers were developed. … Cited by 1 Related articles All 2 versions

A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing F Kong, HT Ng, G Zhou – emnlp2014.org … mechanism. Then, the con- tribution of the joint inference mechanism to our constituent-based approach, and finally the contri- bution of our argument labeling system to the end- to-end discourse parser are presented. Effectiveness …

Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure K Allen, G Carenini, RT Ng – anthology.aclweb.org … linked by these relations. Computational sys- tems (discourse parsers) have been recently devel- oped to automatically generate a discourse tree for a given monologue (Joty et al., 2013). Although theoretically the rhetorical …

Informal Mathematical Discourse Parsing with Conditional Random Fields REG de Piñerez Reyes, JF Díaz-Frías – Statistical Language and Speech …, 2014 – Springer … In this paper, we present an end-to-end discourse parser which is a sequential classifier of informal deductive argumentations (IDA) for Spanish. We design a discourse parser using sequence labeling based on CRFs (Conditional Random Fields). …

Rapid Development of a Corpus with Discourse Annotations using Two-stage Crowdsourcing D Kawahara, Y Machida, T Shibata, S Kurohashi… – anthology.aclweb.org … Based on this corpus, we also develop a supervised discourse parser and evaluate its performance to verify the usefulness of the acquired corpus. 1 Introduction … Discourse parsers trained on these corpora have also been developed and practically used. …

Aspect Oriented Opinion Summarization S Gerani, Y Mehdad, G Carenini, R NG – nwnlp2014.cs.sfu.ca … In order to parse the reviews to their DT, we use a state-of-the-art discourse parser (Joty et al., 2013). This discourse parser constructs a DT for every sentence using the intra-sentential parser, and then runs a multi-sentential parser on the re- sulting sentence-level DTs. … Related articles

Information Extraction Using Discourse Analysis From Newswires A Rahangdale, AJ Agrawal – International Journal of Information …, 2014 – airccse.org … The system is evaluated according gold-of-art analysis and human decision for extracted information. KEYWORDS Discourse parser, Rhetorical Structure Theory, Elementary Discourse Unit, Nucleus, Information Extraction. 1. INTRODUCTION …

A Joint Learning Approach to Explicit Discourse Parsing via Structured Perceptron S Li, F Kong, G Zhou – … and Natural Language Processing Based on …, 2014 – Springer … In this paper, we focus on building an end- to-end PDTB-style explicit discourse parser via structured perceptron by decomposing it into two components, ie, a connective labeler, which identifies connectives from a text and determines their senses in classi- fying discourse …

Learning explicit and implicit Arabic discourse relations I Keskes, FB Zitoune, LH Belguith – … of King Saud University-Computer and …, 2014 – Elsevier … See for example (DuVerle and Prendinger, 2009, Baldridge and Lascarides, 2005, Wellner et al., 2006 and Lin et al., 2010) who proposed discourse parsers within respectively the RST, SDRT, Graph Bank and PDTB frameworks. …

One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations Y Ji, J Eisenstein – arXiv preprint arXiv:1411.6699, 2014 – arxiv.org Page 1. One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations Yangfeng Ji and Jacob Eisenstein School of Interactive Computing Georgia Institute of Technology {jiyfeng, jacobe}@gatech.edu Abstract …

Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system JJ Li, M Carpuat, A Nenkova – aclweb.org … The release of the Penn Discourse Treebank (PDTB) (Prasad et al., 2008) brought about a new sense of maturity in discourse analysis, finally providing a high-quality large-scale resource for training discourse parsers for English. … A PDTB-styled end-to-end discourse parser. …

Unsupervised extraction of semantic relations using discourse cues JCSAN Asher, P Muller – anthology.aclweb.org … 2010. HILDA : A Discourse Parser Using Support Vector Machine Classification. Dialogue and Discourse, 1(3) :1–33. Zornitsa Kozareva. 2012. … 2014. A PDTB-styled end-to-end discourse parser. Natural Language Engineering, 20(2) :151–184. Dekang Lin. 1998. …

An Investigation on the Influence of Genres and Textual Organisation on the Use of Discourse Relations FH Bachand, E Davoodi, L Kosseim – Computational Linguistics and …, 2014 – Springer … more specific. Discourse parsers available today (eg. [1 … relations. 2 Previous Work Currently available discourse parsers do not take genre and textual organisation into consideration when extracting discourse relations (eg. [1] [2 … Cited by 1 Related articles

Discourse Complements Lexical Semantics for Non-factoid Answer Reranking P Jansen, M Surdeanu, P Clark – ai-squared.org … ranges. Here we show just a few for brevity. Bottom: Example feature generation for the discourse parser model using the output of an actual discourse parser. The DPM creates one feature for each individual discourse relation. … Related articles All 4 versions

The Impact of Deep Hierarchical Discourse Structures in the Evaluation of Text Coherence VW Feng, Z Lin, G Hirst, SP Holdings – db.toronto.edu … ence. Lin et al. (2011) use a PDTB-style discourse parser (to be introduced in Section 2.1) to identify discourse relations in the text, and they represent a text by entities and their associated discourse roles in each sentence. In …

Japanese Discourse Structure Analysis Based on Automatically Acquired Large-Scale Knowledge Q Bu, D Kawahara, S Kurohashi – anlp.jp … As for statistical approaches to discourse structure analysis, Hernault and his colleagues (Hernault et al., 2010) pro- posed HILDA, which is a fully-implemented feature- based discourse parser that works at the full text-level rather than individual sentences. … Related articles

SIMTEX: An Approach for Detecting and Measuring Textual Similarity based on Discourse and Semantics I da Cunha, J Vivaldi, JM Torres-Moreno… – Computación y …, 2014 – scielo.org.mx … The resources necessary to adapt the algorithm to other languages are a discourse parser in the corresponding language, as well as an ontology or lexical database, such as WordNet (or any other re source that allows calculating semantic similarity). …

Processing Discourse in Dislog on the TextCoop Platform P Saint-Dizier – COLING 2014, 2014 – aclweb.org … Finally the Hilda system is a discourse parser based on a support vector machine classification (Hernault et al. 2010). … HILDA: A Discourse Parser Using Support Vector Machine Classification, Discourse and Dialogue Vol 1 (3). Kang, J., Saint-Dizier, P. 2013. …

An Approach for computing sentiment polarity analysis of complex why type questions on product review sites A Mishra, SK Jain – cs.stir.ac.uk … state that their discourse parser could be utilized in generating answers to why-questions by recognizing causal relations in text [21]. … We perform discourse based analysis of why-questions through a PDTB-Styled End-to-End Discourse Parser developed by Ziheng Lin et al. …

Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns AT Rutherford, N Xue – aclweb.org … occurring text. In- ferring types or senses of implicit discourse re- lations remains a key challenge in automatic dis- course analysis. A discourse parser requires many subcompo- nents which form a long pipeline. The implicit … Related articles All 2 versions

Exploiting rhetorical structures to improve feature-based sentiment analysis N Sanglerdsinlapachai… – Computer Science …, 2014 – ieeexplore.ieee.org … Due to many methods may identify different polarities on the same clause in a sentence and those polarities might be inconsistent, the authors used MLN to exploit a CONTRAST-type relationship between clauses, extracted by HILDA discourse parser [9], to identify the actual …

Abstractive Summarization of Product Reviews Using Discourse Structure S Gerani, Y Mehdad, G Carenini, RT Ng, B Nejat – aclweb.org … First, we apply a discourse parser to each review and obtain a discourse tree repre- sentation for every review. We then mod- ify the discourse trees such that every leaf node only contains the aspect words. … 1http://alt.qcri.org/discourse/Discourse Parser Dist.tar.gz 1604 Page 4. …

Entity-Augmented Distributional Semantics for Discourse Relations Y Ji, J Eisenstein – arXiv preprint arXiv:1412.5673, 2014 – arxiv.org … ab- sent. We focus on the more challenging problem of classifying implicit discourse relations. Aiming to build a discourse parser in future, we follow the same experimental setting proposed by Lin et al. (2009), and evaluate …

Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification C Braud, P Denis – coling, 2014 – hal.inria.fr … Our experiments are then summarized in section 6. 2 Related Work To date, there have been only a few attempts at building full document-based discourse parsers. … 2010. Hilda: A discourse parser using support vector machine classification. Dialogue and Discourse, 1(3):1–33. …

Two-pass Discourse Segmentation with Pairing and Global Features VW Feng, G Hirst – arXiv preprint arXiv:1407.8215, 2014 – arxiv.org … text. For most discourse parsers, regardless of the adopted theoretical framework, discourse seg- mentation, which aims to determine the bound- aries of discourse units, constitutes the first stage in the pipeline workflow. Therefore …

Semi-supervised learning of causal relations in biomedical scientific discourse C Mih?il?, S Ananiadou – Biomedical …, 2014 – biomedical-engineering-online.com … Based on this corpus, researchers have not only identified discourse connectives, but also developed end-to-end discourse parsers [11,12]. However, biomedical discourse has been shown to exhibit different traits when compared to general language, at multiple levels. …

Revisiting Cross-document Structure Theory for multi-document discourse parsing EG Maziero, MLRC Jorge, TAS Pardo – Information Processing & …, 2014 – Elsevier Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the gro. Cited by 1 Related articles All 3 versions

Addressing Class Imbalance for Improved Recognition of Implicit Discourse Relations JJ Li, A Nenkova – 15th Annual Meeting of the Special Interest …, 2014 – anthology.aclweb.org … This represen- tation leads to only slightly lower results than a system including a much larger variety of features in the first end-to-end PDTB style discourse parser (Lin et al., 2014). … Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-styled end-to-end discourse parser. …

Generating Comprehension Questions Using Paraphrase YM Tseng, YT Huang, MC Chen, YS Sun – Technologies and Applications …, 2014 – Springer … The PDTB-styled end-to-end discourse parser [10] recognizes intra- and inter-sentential discourse relations and the corresponding argument spans. … 35–40 (2010) 10. Lin, Z., Ng, HT, Kan, M.: A PDTB-styled end-to-end discourse parser. Comput. Res. Repository (2011) 11. …

Reducing Sparsity Improves the Recognition of Implicit Discourse Relations JJ Li, A Nenkova – 15th Annual Meeting of the Special Interest …, 2014 – anthology.aclweb.org … Given these findings, we address the question if any lexical information at all should be pre- served in discourse parsers. We find that purely syntactic representations show lower recognition 199 Page 220. … 2014. A PDTB-styled end-to-end discourse parser. …

Discriminative Reranking of Discourse Parses Using Tree Kernels S Joty, A Moschitti – a) A – emnlp2014.org … structural dependencies between DT constituents. For example, consider the human- annotated DT (Figure 1a) and the DT generated by the discourse parser of Joty et al. (2013) (Figure 1b) for the same text. The parser makes a …

Representation Learning for Text-level Discourse Parsing Y Ji, J Eisenstein – cc.gatech.edu … The resulting shift-reduce discourse parser obtains substantial improvements over the previous state-of-the-art in pre- dicting relations and nuclearity on the RST Treebank. … Our method is implemented as a shift-reduce discourse parser (Marcu, 1999; Sagae, 2009). … Cited by 2 Related articles

How Could Veins Speed Up The Process Of Discourse Parsing E Mitocariu, DA Anechitei, D Cristea – lrec-conf.org … We present the results of applying our method on a discourse parser system that generates binary trees in which leafs are elementary discourse units (edus), such as clauses or short sentences, and internal nodes represent larger text spans. … Related articles

Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays S Somasundaran, J Burstein, M Chodorow – anthology.aclweb.org … lexical chain features is better than that of previous discourse features used for this task, and that the best system performance is achieved when combining lexical chaining features with complementary discourse features, such as those provided by a discourse parser based on …

Towards the Design of Cross-lingual Discourse Annotation in Chinese-English Bitext F Yung, K Duh, Y Matsumoto – anlp.jp … Linguistic Data Consortium LDC2007T02, January 2007. [2] Ziheng Lin, Hwee Tou Ng, and Min Yen Kan. A pdtb-styled end-to-end discourse parser. Tech- nical report, National University of Singapore, 2010. [3] William C. Mann and Sandra A. Thompson. … Related articles

Towards a Discourse Relation-aware Approach for Chinese-English Machine Translation F Yung – ACL 2014, 2014 – ling.uni-potsdam.de … Ziheng Lin, Hwee Tou Ng, and Min Yen Kan. 2010. A pdtb-styled end-to-end discourse parser. Technical report, National University of Singapore. William C. Mann and Sandra A. Thompson. 1988. Rhetorical structure theory: Toward a functional the- ory of text organization. …

Assessing the Discourse Factors that Influence the Quality of Machine Translation JJ Li, M Carpuat, A Nenkova – ling.uni-potsdam.de … 15. Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-styled end-to-end discourse parser. Natural Language Engineering, 20:151–184, 4. Mitchell P. Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. …

Extracting opinion holders and targets in Romanian texts AL Anisiei, M Dinsoreanu, C Lemnaru… – … (ICCP), 2014 IEEE …, 2014 – ieeexplore.ieee.org … product reviews. We use Romanian FDG Parser [7] and Multilingual Discourse Parser [10] for our experiments. The … learningGuide_reportingVerbs.pdf. [10] UAIC Multilingual Discourse Parser available at http://nlptools.infoiasi.ro/UAIC.DiscourseParser/. [11 …

Argument Mining D Litman – ssa2014.arg.dundee.ac.uk Page 1. 9/17/14 1 Argument Mining for Educa%onal Applica%ons using Discourse and Diagrams Diane Litman Professor, Computer Science Department Senior Scien%st, Learning Research & Development Center Co-?Director …

Automatic labelling of transitivity functional roles H Yan – Journal of World Languages, 2014 – Taylor & Francis … 2010. “HILDA: A Discourse Parser Using Support Vector Machine Classification.” Dialogue & Discourse 1 (3): 1–33. [CrossRef] View all references) analysis. … 2010. “HILDA: A Discourse Parser Using Support Vector Machine Classification.” Dialogue & Discourse 1 (3): 1–33. …

An Evaluation of the Influence of a Document’s Text-Type on the Use of Discourse Relations FH Bachand – 2014 – spectrum.library.concordia.ca … 85 5.2.1 Using Text-Types to Tailor Discourse Parsers . . . . . … 27 2.9 F-scores for SPADE Discourse Parser Evaluation Using the Parseval Metric, from (Soricut & Marcu, 2003) . . . . …

Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation R Prasad, B Webber, A Joshi – Computational Linguistics, 2014 – MIT Press Cited by 1

Truth and deception at the rhetorical structure level VL Rubin, T Lukoianova – Journal of the Association for …, 2014 – Wiley Online Library … Recent efforts in developing a fully automated RST-based discourse parser confirm that it is feasible to extend traditional sentence-level discourse parsing to text-level parsing. The first fully implemented text-level discourse … Cited by 1 Related articles

Uncovering Discourse Relations to Insert Connectives between the Sentences of an Automatic Summary SB Silveira, A Branco – Advances in Natural Language Processing, 2014 – Springer … seek to improve the performance of a discourse parser [3]. Despite of their different goals, these studies follow a common approach to find and classify discourse relations in text, that is a machine learning techniques over annotated data. …

New Corpora for ‘New’Challenges in Portuguese Processing SM Aluísio, TAS Pardo, MS Duran – Working with Portuguese …, 2014 – books.google.com … The availability of annotated corpora has allowed not only the acceptance and widespread visibility of linguistic theories and models, but also the development of good part-of-speech (PoS) taggers, syntactic and discourse parsers and semantic analysers. … Related articles

Web-Based Analysis of Chinese Discourse Markers for Opinion Mining HH Huang, CH Yu, TW Chang, CK Lin… – Proceedings of the 2014 …, 2014 – dl.acm.org Page 1. Web-Based Analysis of Chinese Discourse Markers for Opinion Mining Hen-Hsen Huang, Chi-Hsin Yu, Tai-Wei Chang, Cong-Kai Lin, and Hsin-Hsi Chen Department of Computer Science and Information Engineering …

Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features D Kawahara, M Palmer – lrec-conf.org … 2009. An effec- tive discourse parser that uses rich linguistic informa- tion. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguis- tics (NAACL-HLT2009), pages 566–574. … Related articles

Proof-Carrying Model for Parsing Techniques MA El-Zawawy – Computational Science and Its Applications–ICCSA …, 2014 – Springer Page 1. Proof-Carrying Model for Parsing Techniques Mohamed A. El-Zawawy1, 2 1 College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh, Kingdom of Saudi Arabia …

Building Chinese Discourse Corpus with Connective-driven Dependency Tree Structure Y Li, W Feng, J Sun, F Kong, G Zhou – Proceedings of the 2014 …, 2014 – aclweb.org Page 1. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 2105–2114, October 25-29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Building Chinese Discourse Corpus with Connective-driven … Cited by 1

A description of pragmatics rhetorical structure and its evaluation in computational linguistics M Iruskieta – 2014 – researchgate.net Page 1. A description of pragmatics rhetorical structure and its evaluation in computational linguistics Mikel Iruskieta mikel.iruskieta@ehu.es Ixa group for NLP University of the Basque Country (UPV/EHU) April 7, 2014 Page 2. Outline …

Improving Information Extraction By Discourse-Guided And Multifaceted Event Recognition R Huang – 2014 – stanford.edu Page 1. IMPROVING INFORMATION EXTRACTION BY DISCOURSE-GUIDED AND MULTIFACETED EVENT RECOGNITION by Ruihong Huang A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of …

Signalling of Coherence Relations in Discourse D Das – 2014 – summit.sfu.ca Page 1. Signalling of Coherence Relations in Discourse by Debopam Das MA (Linguistics), University of Calcutta, 2007 BA, University of Calcutta, 2004 Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in the …

Situation Entity Types A Friedrich, A Palmer – 2014 – sitent.coli.uni-saarland.de … In order to provide a common basis for annota- tors, we segment the texts into clauses using a freely available discourse parser, SPADE (Soricut and Marcu, 2003), and apply customized post-processing steps (described in Section 3.2). …

Translating Pronouns with Latent Anaphora Resolution CHJTJ Nivre – cs.cmu.edu … By contrast, the supervised methods popular in discourse modelling have other limitations. Systems like coreference resolvers or discourse parsers are often trained on relatively small data sets with elaborate annotations. In …

Learning to Differentiate Better from Worse Translations AMPN MassimoNicosia – aclweb.org … 1). 1The discourse parser can be downloaded from http://alt.qcri.org/tools/ More specifically, KMs carry out learning using the scalar product Kmt((t1,t2),(t1,t2)) = ?mt(t1,t2) · ?mt(t1,t2), where ?mt maps pairs into the feature space. …

Context Awareness and Personalization in Dialogue Planning RWH Fisher – 2014 – cs.cmu.edu … Going forward, we plan to apply similar techniques to reduce the need for supervision while training a discourse parser, with the eventual goal of creating an algorithm to learn fully latent language structure without the need for annotated training data. … Related articles All 2 versions

LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization A Friedrich, M Valeeva, A Palmer – lrec-conf.org Page 1. LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization Annemarie Friedrich, Marina Valeeva and Alexis Palmer Department of Computational Linguistics Saarland University, Saarbrücken … Related articles

Knowledge-rich temporal relation identification and classification in clinical notes J D’Souza, V Ng – Database, 2014 – database.oxfordjournals.org … In this subsection, we examine whether we can improve a temporal relation identifier via explicit and implicit PDTB-style discourse relations automatically extracted by Lin et al.’s (18) end-to-end discourse parser. Let us first review PDTB-style discourse relations. …

CODRA: A Novel Discriminative Framework for Rhetorical Analysis S Joty, G Carenini, RT Ng – www-devel.cs.ubc.ca … CODRA comprises a discourse segmenter and a discourse parser. First, the discourse segmenter, which is based on a binary classifier, identifies the elementary discourse units in a given text. Then the discourse parser builds …

A preliminary research on rhetorical structural and prosodic features in Chinese reading texts L Zhang, Y Jia, A Li – Chinese Spoken Language Processing ( …, 2014 – ieeexplore.ieee.org … The corpus, consisting of 400 news texts of about 780,000 characters, has been applied to providing a priori scores, Chinese summarizers and be used as a platform for training and testing statistics-based discourse parsers. …

Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives BP Ramesh, SM Belknap, Z Li, N Frid… – JMIR Medical …, 2014 – ncbi.nlm.nih.gov … systems described in the literature [77,78]. We also added presence of discourse connectives that were automatically detected by the discourse parser [79]. Systems. Overview. We developed several taggers to evaluate the complexity …

Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates KS Hasan, V Ng – aclweb.org Page 1. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 751–762, October 25-29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Why are You Taking this Stance? …

[BOOK] The Pragmatics of Discourse Coherence: Theories and applications H Gruber, G Redeker – 2014 – books.google.com Page 1. The Pragmatics of Discourse Coherence ED IT ED BY | Helmut Gruber Gisela Redeker John Benjamins Publishing Company Page 2. The Pragmatics of Discourse Coherence Page 3. Pragmatics & Beyond New Series …

Sentic patterns: Dependency-based rules for concept-level sentiment analysis S Poria, E Cambria, G Winterstein, GB Huang – Knowledge-Based Systems, 2014 – Elsevier The Web is evolving through an era where the opinions of users are getting increasingly important and valuable. The distillation of knowledge from the huge amou. Cited by 27 Related articles All 2 versions

A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes D Kawahara, DW Peterson, M Palmer – … of the 52nd Annual Meeting of the … – acl2014.org Page 1. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 1030–1040, Baltimore, Maryland, USA, June 23-25 2014. cO2014 Association for Computational Linguistics A Step-wise …

Mocking Ads Through Mobile Web Services L Gatti, M Guerini, O Stock… – Computational …, 2014 – Wiley Online Library … Island, South Korea, pp. 988–996. Hernault, H., H. Prendinger, D. A. duVerle, and M. Ishizuka. 2010. HILDA: A discourse parser using support vector machine classification. Dialogue & Discourse 1(3): 1–33. CrossRef. Lee, H.,.

Situation entity annotation A Friedrich, A Palmer – LAW VIII, 2014 – anthology.aclweb.org … 4.2 Segmentation into clauses We segment the texts into finite clauses using the SPADE discourse parser (Soricut and Marcu, 2003), applying some heuristic post-processing and allowing annotators to mark segments that do not contain a situation (for instance, headlines or by … Cited by 1

Towards Argument Mining from Dialogue K Budzynska, M Janier, J Kang, C Reed, P Saint-Dizier… – comma2014.arg.dundee.ac.uk … [10] H. Hernault, H. Prendinger, D. duVerle, and M. Ishizuka. Hilda: A discourse parser using support vector machine classification. Dialogue and Discourse, 1(3):1–33, 2010. … [23] R. Subba and B. Di Eugenio. An effective discourse parser that uses rich linguistic information. …

The Non Cooperative Basis of Implicatures N Asher – Formal Approaches to Semantics and Pragmatics, 2014 – Springer Page 1. The Non Cooperative Basis of Implicatures Nicholas Asher Abstract This chapter presents a model according to which implicatures, which are traditionally analyzed in terms of cooperative principles, remain rational in strongly non cooperative settings. …

The annotation of the Central Unit in Rhetorical Structure Trees: A Key Step in Annotating Rhetorical Relations M Iruskieta, AD de Ilarraza, M Lersundi – aclweb.org … 2011a. Bases para la imple- mentación de un segmentador discursivo para el euskera [Bases for an Implementation of a Discourse Parser for Basque]. In Workshop A RST e os Estudos do Texto, Mato Grosso, Brazil, 24-26 October. …

A Computational Linguistic Approach Towards Understanding Wikipedia’s Article For Deletion (AFD) Discussions (Thesis format: … W Mao – 2014 – ir.lib.uwo.ca … 12 used machine learning methods to predict high-level discourse structure [36]. Bach et al. proposed the current state-of-the-art discourse parser–unlabeled discourse parsing system in the RST framework [2]. 2.2.3 Relationships between text fragments … Related articles

Context-aware learning for sentence-level sentiment analysis with posterior regularization B Yang, C Cardie – Proceedings of ACL, 2014 – acl2014.org Page 1. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 325–335, Baltimore, Maryland, USA, June 23-25 2014. cO2014 Association for Computational Linguistics Context-aware … Cited by 3

Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features C Hashimoto, K Torisawa, J Kloetzer, M Sano, I Varga… – nict.go.jp Page 1. Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features Chikara Hashimoto? Kentaro Torisawa† Julien Kloetzer‡ Motoki Sano§ István Varga … Cited by 1 Related articles

Requirement Compound Mining and Analysis J Kang, P Saint-Dizier – Rules on the Web. From Theory to Applications, 2014 – Springer … In: Proceedings of the Third Symposium on Requirements Engineering for Information Security, SREIS 2005 (2005) 12. Hernault, H., Prendinger, H., Ishuzuka, M.: HILDA: A discourse parser using sup- port vector machine classification. Diualogue and Discourse 1(3) (2010) 13. …

Towards segment-based recognition of argumentation structure in short texts A Peldszus – ACL 2014, 2014 – anthology.aclweb.org … SIGKDD Explor. Newsl., 11 (1): 10–18, November. Hugo Hernault, Hemut Prendinger, David duVerle, and Mitsuru Ishizuka. 2010. HILDA: A discourse parser using support vector machine classification. Dialogue and Discourse, 1 (3): 1–33. … Cited by 1

Cross-Domain and Cross-Language Porting of Shallow Parsing EA Stepanov – 2014 – eprints-phd.biblio.unitn.it … 34 3.5.1 Features . . . . . 34 3.5.2 Single Model Discourse Parser . . . . . 36 3.5.3 Separate Models Discourse Parser . . . . . 37 3.6 Experiments and Results . . . . . 39 3.6.1 Evaluation . . . . . …

Highly interactive and natural user interfaces: enabling visual analysis in historical lexicography R Therón, C Seguín, L de la Cruz… – Proceedings of the First …, 2014 – dl.acm.org … et al. [27] have approached discourse analysis from a interactive visual perspective aimed at assisting computational linguistics researchers to explore, compare, evaluate and annotate the results of discourse parsers. The advances … Related articles

A Model for Processing Illocutionary Structures and Argumentation in Debates K Budzynska, M Janier, C Reed, P Saint-Dizier… – lrec-conf.org Page 1. A Model for Processing Illocutionary Structures and Argumentation in Debates Katarzyna Budzynska1,2, Mathilde Janier2,3, Chris Reed2, Patrick Saint-Dizier3, Manfred Stede4 and Olena Yakorska1 1Institute of Philosophy … Cited by 1 Related articles

[BOOK] Computational Science and Its Applications–ICCSA 2014: 14th International Conference, Guimarães, Portugal, June 30-July 3, 2014, Proceedings B Murgante – 2014 – books.google.com Page 1. Beniamino Murgante Sanjay Misra Ana Maria AC Rocha Carmelo Torre Jorge Gustavo Rocha Maria Irene Falcão David Taniar Bernady O. Apduhan Osvaldo Gervasi (Eds.) Computational Science and Its Applications …

Hierarchical Topical Segmentation with Affinity Propagation A Kazantseva, S Szpakowicz – site.uottawa.ca Page 1. Hierarchical Topical Segmentation with Affinity Propagation Anna Kazantseva School of Electrical Engineering and Computer Science University of Ottawa Ottawa, Ontario, Canada ankazant@eecs.uottawa.ca Stan …

Topical Structure in Long Informal Documents A Kazantseva – 2014 – anna-kazantseva.com … Of course, quite a number of people have worked on robust discourse parsing, but to the best of our knowledge, there are no publicly available robust discourse parsers (see Section 2.3 for a review of relevant related work). … Cited by 1

Toward an enriched understanding of factors influencing Filipino behavior during elections through the analysis of Twitter data ZC Pablo, N Oco, MDG Roldan, C Cheng… – Philippine Political …, 2014 – Taylor & Francis … Berlin, Germany, September 30–October 2 Lobin. 2008. View all references) built a discourse parser for automated discourse analysis in the framework of Rhetorical Structure Theory. This limitation has led other analysts to …

Prior and contextual emotion of words in sentential context D Ghazi, D Inkpen, S Szpakowicz – Computer Speech & Language, 2014 – Elsevier … The set of rules for an affect analysis task (Neviarouskaya et al., 2011) can differ drastically from what underlies other tasks such as rule-based part-of-speech tagger, discourse parsers, word sense disambiguation and machine translation. … Cited by 7 Related articles All 4 versions

Evaluating temporal graphs built from texts via transitive reduction X Tannier, P Muller – arXiv preprint arXiv:1401.3865, 2014 – arxiv.org Page 1. Journal of Artificial Intelligence Research 40 (2011) 375–413 Submitted 06/10; published 02/11 Evaluating Temporal Graphs Built from Texts via Transitive Reduction Xavier Tannier XTANNIER@LIMSI.FR LIMSI-CNRS and Univ. … Cited by 5 Related articles All 13 versions

SongRecommend: From summarization to recommendation S Tata, B Di Eugenio – Natural Language Engineering, 2014 – Cambridge Univ Press Page 1. Natural Language Engineering 20 (1): 29–67. c Cambridge University Press 2012 doi:10.1017/S1351324912000253 29 SongRecommend: From summarization to recommendation SWATI TATA1? and BARBARA DI … Cited by 2 Related articles All 2 versions

Extracting relevant knowledge for the detection of sarcasm and nastiness in the social web R Justo, T Corcoran, SM Lukin, M Walker… – Knowledge-Based …, 2014 – Elsevier Automatic detection of emotions like sarcasm or nastiness in online written conversation is a difficult task. It requires a system that can manage some kind of.