Discourse Parser 2016


Notes:

Shallow discourse parsing is the task of parsing a piece of text into a set of discourse relations between two adjacent or non-adjacent discourse units.  It is shallow… because the relations in a text are not connected to one another to form a connected structure in the form of a tree or graph.

  • Argument mining
  • Automatic discourse segmentation
  • Coherence relations
  • Discourse parsing
  • Discourse processing system
  • Discourse relation classification
  • Discourse representation
  • Discourse segmentation
  • Discourse segmenter
  • Discourse structures
  • Discourse units
  • Shallow discourse parsing

Resources:

Wikipedia:

References:

See also:

100 Best Discourse Analysis Videos | Computational Discourse | Computational Discourse Analysis | Discourse Analysis & Chatbots | Discourse Analysis & Dialog Systems 2016 | Discourse Unit & Dialog SystemsRhetorical Parser | Treebank & Dialog Systems 2016


A Constituent Syntactic Parse Tree Based Discourse Parser.
Z Li, H Zhao, C Pang, L Wang, H Wang – CoNLL Shared Task, 2016 – aclweb.org
Abstract This paper describes our system in the CoNLL-2016 shared task. Our system takes a piece of newswire text as input and returns the discourse relations. In our system we use a pipeline to conduct each subtask. Our system is evaluated on the CoNLL-2016 Shared Task

Shallow Discourse Parsing Using Convolutional Neural Network.
L Qin, Z Zhang, H Zhao – CoNLL Shared Task, 2016 – aclweb.org
… Figure 1: System pipeline for the discourse parser 3 Convolutional Neural Network Each sentence could obtain a sentence vector through CNN and the final classification is based on the transformations of the sentence vectors. … 2015. The clac discourse parser at CoNLL-2015. …

CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing.
N Xue, HT Ng, S Pradhan, A Rutherford… – CoNLL Shared …, 2016 – aclweb.org
… 4.1 Main evaluation metric: End-to-end discourse parsing A shallow discourse parser (SDP) is evaluated based on the end-to-end F1 score on a per- 5 https://www. seas. upenn. edu/~ pdtb/tools. shtml# annotator 6 http://www. github. com/attapol/conll16st. 4 Page 15. …

Implicit Discourse Relation Classification via Multi-Task Neural Networks.
Y Liu, S Li, X Zhang, Z Sui – AAAI, 2016 – aaai.org
… zxdcs, szf}@pku.edu.cn Abstract Without discourse connectives, classifying implicit dis- course relations is a challenging task and a bottleneck for building a practical discourse parser. Previous re- search usually makes use …

Modeling the interpretation of discourse connectives by bayesian pragmatics
F Yung, K Duh, T Komura, Y Matsumoto – … of the Annual Meeting of the …, 2016 – aclweb.org
… Our contribu- tion includes:(i) an adaptation of the Bayesian Rational Speech Acts model to DC interpretation using a discourse-annotated corpus, the Penn Dis- course Treebank;(ii) integration of the proposed model with a state-of-the-art automatic discourse parser to improve …

Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task.
J Wang, M Lan – CoNLL Shared Task, 2016 – aclweb.org
… cn, mlan@ cs. ecnu. edu. cn? Abstract This paper describes our two discourse parsers (ie, English discourse parser and Chinese discourse parser) for sub- mission to CoNLL-2016 shared task on Shallow Discourse Parsing. …

Adding Semantic Relations to a Large-Coverage Connective Lexicon of German.
T Scheffler, M Stede – LREC, 2016 – lrec-conf.org
… important asset. In addition to the “straightforward” use in a discourse parser, connective lists can moreover help to generate training data for identifying unsignalled (‘im- plicit’) coherence relations, as shown by (Ji et al., 2015). In …

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification.
L Qin, Z Zhang, H Zhao – EMNLP, 2016 – aclweb.org
… In a discourse parser, implicit relation recognition has been the bottleneck due to lack of explicit connec- tives (like “because” or “and”) that can be strong indicators for the senses between adjacent clauses (Qin et al., 2016b; Pitler et al., 2009; Lin et al., 2014). …

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network.
J Chen, Q Zhang, P Liu, X Qiu, X Huang – ACL (1), 2016 – anthology.aclweb.org
… In fact, such implicit discourse relations outnumber explicit relations in naturally occurring text, and identify those relations have been shown to be the performance bottleneck of an end-to-end discourse parser (Lin et al., 2014). …

Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory
R Hoogervorst, E Essink, W Jansen… – … Conference on Web …, 2016 – Springer
… However, in [17], the first discourse parser that works with unrestricted text is presented. … Two important elements of such an analysis are to determine the type of discourse parser used and the exact set of rhetorical relations considered in the analysis. …

Word embeddings and discourse information for Quality Estimation
C Scarton, D Beck, K Shah, KS Smith… – Proceedings of the First …, 2016 – aclweb.org
… 2.1 Discourse-aware system Pronouns, Connectives, EDUs and RST fea- tures (called hereafter PCER). Following (Scar- ton et al., 2015a), we use information from the Charniak parser (Charniak, 2000), the Discourse Parser from Joty et al. …

Learning-based single-document summarization with compression and anaphoricity constraints
G Durrett, T Berg-Kirkpatrick, D Klein – arXiv preprint arXiv:1603.08887, 2016 – arxiv.org
… (2010), plus novel features on spans includ- ing span length and span identity for short spans. To follow the conditions of Yoshida et al. (2014) as closely as possible, we also build a discourse parser in the style of Hirao et al. (2013), since their parser is not publicly available. …

Extracting PDTB Discourse Relations from Student Essays.
K Forbes-Riley, F Zhang, DJ Litman – SIGDIAL Conference, 2016 – aclweb.org
… We hypothesized that these differences would shed light on unclear aspects of the PDTB framework, while also challenging an automatic discourse parser. … discourse parser (Lin et al., 2014) to automatically predict our human-annotated relations. …

Multi-view and multi-task training of RST discourse parsers.
C Braud, B Plank, A Søgaard – COLING, 2016 – aclweb.org
… We show that a simple LSTM sequential discourse parser takes advantage of this multi-view and multi-task framework with 12-15% error reductions over our baseline (depending on the metric) and results that rival more complex state-of-the-art parsers. 1 Introduction …

Integer linear programming for discourse parsing
JPSAN Asher, M Morey – Proceedings of NAACL-HLT, 2016 – aclweb.org
… Abstract In this paper we present the first, to the best of our knowledge, discourse parser that is able to predict non-tree DAG structures. We use Integer Linear Programming (ILP) to encode both the objective function and the constraints as global decoding over local scores. …

Discourse Sense Classification from Scratch using Focused RNNs.
G Weiss, M Bajec – CoNLL Shared Task, 2016 – aclweb.org
… Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-Styled End-to-End Discourse Parser. Nat. Lang. … 2015. The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models. Proc. Ninet. Conf. Comput. Nat. Lang. …

OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing
S Oepen, J Read, T Scheffler, U Sidarenka… – Proceedings of the …, 2016 – aclweb.org
… While adopting a similar pipeline approach, the OPT discourse parser also builds on and extends a method that has previously achieved state-of-the-art results for the detection of spec- ulation and negation (Velldal et al., 2012; Read et al., 2012). …

The Role of Discourse Units in Near-Extractive Summarization.
JJ Li, K Thadani, A Stent – SIGDIAL Conference, 2016 – anthology.aclweb.org
… Page 164. Vanessa Wei Feng and Graeme Hirst. 2014a. A linear- time bottom-up discourse parser with constraints and post-editing. In Proceedings of the ACL. … 2010. HILDA: a discourse parser using support vector machine classification. Dialogue and Discourse, 1 (3): 1–33. …

Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings.
L Qin, Z Zhang, H Zhao – COLING, 2016 – aclweb.org
… In this paper, we will focus on the more practical multi- class classification, which is a necessary component for building a complete discourse parser such as that for the shared tasks of CoNLL-2015 and 2016 (Xue et al., 2015; Xue et al., 2016). …

Discourse Relations Detection via a Mixed Generative-Discriminative Framework.
J Chen, Q Zhang, P Liu, X Huang – AAAI, 2016 – aaai.org
Page 1. Discourse Relations Detection via a Mixed Generative-Discriminative Framework Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang Shanghai Key Laboratory of Data Science School of Computer Science, Fudan University …

Discourse connective detection in spoken conversations
G Riccardi, EA Stepanov… – Acoustics, Speech and …, 2016 – ieeexplore.ieee.org
… Language Resources and Evaluation (LREC), 2010. [2] Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan, “A pdtb-styled end-to-end discourse parser,” Natural Language Engineering, vol. 1, pp. 1 – 35, 2012. [3] Evgeny A. Stepanov and …

Recognizing implicit discourse relations via repeated reading: Neural networks with multi-level attention
Y Liu, S Li – arXiv preprint arXiv:1609.06380, 2016 – arxiv.org
Page 1. Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention Yang Liu1,2, Sujian Li1 1 Key Laboratory of Computational Linguistics, Peking University, MOE, China 2 ILCC …

Science Question Answering using Instructional Materials
M Sachan, A Dubey, EP Xing – arXiv preprint arXiv:1602.04375, 2016 – arxiv.org
… 2014. A linear-time bottom-up discourse parser with constraints and post-editing. In Proceed- ings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 511–521. [Ferrucci2012] David A Ferrucci. 2012. …

Labeling the Semantic Roles of Commas.
N Arivazhagan, C Christodoulopoulos, D Roth – AAAI, 2016 – aaai.org
… Jarvie, G. 1995. Chambers Good Punctuation Guide. Cham- bers. Lin, Z.; Ng, HT; and Kan, M.-Y. 2012. A PDTB-styled end-to-end discourse parser. Natural Language Engineering 20(02):151–184. Marcus, MP; Santorini, B.; and Marcinkiewicz, M. 1993. …

Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features
AT Rutherford, V Demberg, N Xue – arXiv preprint arXiv:1606.01990, 2016 – arxiv.org
… hand-crafted surface features. Our models present the first neural Chinese discourse parser in the style of Chinese Discourse Treebank, showing that our results hold cross-linguistically. 1 Introduction The discourse structure …

Evaluation in discourse: A corpus-based study
BZ Farah, N Asher, YY Mathieu, V Popescu… – Dialogue & …, 2016 – dad.uni-bielefeld.de
… Zirn et al. (2011) performed subjectivity analysis at the segment level. They segmented their corpus with the HILDA tool11, an RST discourse parser. Lazaridou et al. (2013) relied on the SLSeg software package12 to split their corpus into EDUs following RST. …

Fine-Grained Chinese Discourse Relation Labelling.
HY Chen, WS Liao, HH Huang, HH Chen – LREC, 2016 – nlg.csie.ntu.edu.tw
… Lin et al. (2014) develop an end-to-end discourse parser based on PDTB. Most of the above works are done for the four top-level classes in PDTB except the paper (Lin et al., 2009). … 343–351. Lin, Z., Ng, HT and Kan, MY (2014). A PDTB-styled End-to-end Discourse Parser. …

Empirical comparison of dependency conversions for RST discourse trees.
K Hayashi, T Hirao, M Nagata – SIGDIAL Conference, 2016 – aclweb.org
Page 146. Proceedings of the SIGDIAL 2016 Conference, pages 128–136, Los Angeles, USA, 13-15 September 2016. cO2016 Association for Computational Linguistics Empirical comparison of dependency conversions for …

Word embeddings and discourse information for Machine Translation Quality Estimation
C Scarton, D Beck, K Shah, KS Smith… – Proceedings of the …, 2016 – anthology.aclweb.org
… 2.1 Discourse-aware system Pronouns, Connectives, EDUs and RST fea- tures (called hereafter PCER). Following (Scar- ton et al., 2015a), we use information from the Charniak parser (Charniak, 2000), the Discourse Parser from Joty et al. …

Using lexical and Dependency Features to Disambiguate Discourse Connectives in Hindi.
R Jain, H Sharma, DM Sharma – LREC, 2016 – lrec-conf.org
… Con- ditional random fields: Probabilistic models for segment- ing and labeling sequence data. Lin, Z., Ng, HT, and Kan, M.-Y. (2014). A pdtb-styled end-to-end discourse parser. Natural Language Engi- neering, 20(02):151–184. …

Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition.
C Wu, X Shi, Y Chen, Y Huang, J Su – EMNLP, 2016 – aclweb.org
… Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-styled End-to-end Discourse Parser. Natural Language Engineering, 20(02):151–184. Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, and Ye-Yi Wang. 2015. …

Distant supervision for relation extraction beyond the sentence boundary
C Quirk, H Poon – arXiv preprint arXiv:1609.04873, 2016 – arxiv.org
… To gather a finer grained representation of rhetorical structure, we ran a state-of-the-art discourse parser (Xue et … disc adds edges for the predicted rhetorical relations by a state-of-the-art discourse parser (Xue et al., 2015). …

Visualizing structural “inverted pyramids” in English news discourse across levels
H Zhang, H Liu – Text & Talk, 2016 – degruyter.com
Jump to ContentJump to Main Navigation …

Machine comprehension using rich semantic representations
M Sachan, EP Xing – The 54th Annual Meeting of the Association for …, 2016 – aclweb.org
… 2014. A linear-time bottom-up discourse parser with constraints and post-editing. In Proceed- ings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 511–521. [Flanigan et al. …

Document re-ranking based on topic-comment structure
L Ermakova, J Mothe – Research Challenges in Information …, 2016 – ieeexplore.ieee.org
… clause is prominent. In this paper, rather than using discourse parser which is too time consuming for large amount of texts, we develop a simpler way of extracting topic-comment structure for IR (see Section III). B. Discourse …

Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task.
P Jian, X She, C Zhang, P Zhang, J Feng – CoNLL Shared Task, 2016 – aclweb.org
… In Proceedings of EMNLP, pages 343-351. Ziheng Lin, Hwee T. Ng and Min-Yen Kan. 2014. A PDTB-Styled End-to-End Discourse Parser. Natural Language Engineering, 20 (2): 151-184. Daniel Marcu and Abdessamad Echihabi. 2002. …

A CDT-Styled End-to-End Chinese Discourse Parser
F Kong, H Wang, G Zhou – … on Computer Processing of Oriental Languages, 2016 – Springer
Abstract Discourse parsing is a challenging task and plays a critical role in discourse analysis. Since the release of the Rhetorical Structure Theory Discourse Treebank (RST-DT) and the Penn Discourse Treebank (PDTB), the research on English discourse parsing has

UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task.
EA Stepanov, G Riccardi – CoNLL Shared Task, 2016 – aclweb.org
Abstract Penn Discourse Treebank style discourse parsing is a composite task of detecting explicit and non-explicit discourse relations, their connective and argument spans, and assigning a sense to these relations. Due to the composite nature of the task, the end-to-end

Unsupervised Trained Functional Discourse Parser for e-Learning Materials Scaffolding
V Krayvanova, S Duka – International Conference on Speech and …, 2016 – Springer
Abstract The article describes the way of automatic segmentation of natural language text into fragments with different functional semantics. The proposed solution is based on the analysis of how the various parts of speech are distributed through the text. The amount and

Improving discourse sense classification by the form of discourse relations
F Yung, Y Matsumoto – 2016 – anlp.jp
… Figure 2 shows the pipeline of the discourse parser of [7], which was the winning parser of the CONLL shared task. … All Rights Reserved. ? 235 ? Page 2. Figure 2: Pipepine of discourse parser. (from Wang and Lang, 2015) …

Evaluating the Performance of Discourse Parser Systems
E Mitocariu – Soft Computing Applications, 2016 – Springer
Abstract In this paper are analyzed two different methods for comparing discourse tree structures. The aim is to identify the best technique to evaluate the output of discourse parser system. The first, is a traditional method and is based on quantifying the similarities between

Proceedings of the CoNLL-16 shared task
N Xue – Proceedings of the CoNLL-16 shared task, 2016 – aclweb.org
… 20 An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recog- nition Xiaomian Kang, Haoran Li, Long Zhou, Jiajun Zhang and Chengqing Zong . . . . . 27 …

SoNLP-DP System for ConLL-2016 English Shallow Discourse Parsing.
F Kong, S Li, J Li, M Zhu, G Zhou – CoNLL Shared Task, 2016 – anthology.aclweb.org
… Our System classifies discourse re- lations into explicit and non-explicit rela- tions and uses a pipeline platform to con- duct every subtask to form an end-to-end shallow discourse parser in the Penn Dis- course Treebank (PDTB). …

BioDCA Identifier: A System for Automatic Identification of Discourse Connective and Arguments from Biomedical Text
S Gopalan, SL Devi – BioTxtM 2016, 2016 – aclweb.org
… Hence the development of domain specific discourse parser has become indispensable. Here, we present a corpus annotated with discourse relations on Medline abstracts. … Hence there is a demand to spring up a discourse parser for bio-medical domain. …

towards discourse parsing in Spanish
I da Cunha – … Conference Károli Gáspár University of the …, 2016 – pdfs.semanticscholar.org
… it is divided into a learning corpus (183 texts) and a test corpus (84 texts). Third, we have developed a sentence-level discourse parser, diSeg2 (da cunha et al. … currently, we are evaluating the performance of this discourse parser for Spanish. …

Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline.
R Jain, DM Sharma – SRW@ HLT-NAACL, 2016 – aclweb.org
… A fully automated shallow discourse parser would greatly aid in discourse analysis and improve the performance of Text summarization and Question answering systems. … Work towards a complete shallow discourse parser in Hindi has also begun. …

Transition-Based Discourse Parsing with Multilayer Stack Long Short Term Memory
Y Jia, Y Feng, B Luo, Y Ye, T Liu, D Zhao – International Conference on …, 2016 – Springer
… Discourse Parsing. In order to verify the ability of our multilayer LSTM discourse parser, we implement a dependency discourse parser in perceptron based shift-reduce framework with early update strategy [6] as our baseline. …

SoNLP-DP System for ConLL-2016 Chinese Shallow Discourse Parsing.
J Li, F Kong, S Li, M Zhu, G Zhou – CoNLL Shared Task, 2016 – aclweb.org
… As a representative, Lin et al.(2014) decompose the end-to-end PDTB-styled discourse parser into a few components, including a connective classi- fier, an argument labeler, an explicit sense classi- fier, and a non-explicit sense classifier. …

IIT (BHU) Submission on the CoNLL-2016 Shared Task: Shallow Discourse Parsing using Semantic Lexicons.
M Kaur, N Kumari, AK Singh, R Sangal – CoNLL Shared Task, 2016 – anthology.aclweb.org
… The discourse parser takes newswire text as in- put and outputs relations between various components of the text. … 5 Conclusion In this work, we have implemented a discourse parser trained on PDTB corpus with a special fo- cus on using semantic lexicons. …

Parser
ACDTS End-to-End – … : 5th CCF Conference on Natural Language …, 2016 – books.google.com
Page 404. A CDT-Styled End-to-End Chinese Discourse Parser Fang Kong (B), Hongling Wang, and Guodong Zhou School of Computer Science and Technology, Soochow University, Suzhou, China {kongfang, hlwang, gdzhou}@ suda. edu. cn Abstract. …

Towards End-to-end Shallow Discourse Parsing
Z Yang, F Kong – paclic30.khu.ac.kr
… cn Abstract Discourse parsing plays an important role in natural language understanding. In this paper, we focus on constructing an end-to- end shallow discourse parser in the Penn Discourse Treebank(PDTB). Previous studies …

A Joint Model of Rhetorical Discourse Structure and Summarization
N Goyal, J Eisenstein – EMNLP 2016, 2016 – aclweb.org
… discourse struc- ture analysis. 2 Discourse Parsing as Structure Prediction We first describe a supervised discourse parser that uses SampleRank to escape the limitations of local features and local structure prediction. Our parser is …

Service Package Recommendation for Mashup Creation via Mashup Textual Description Mining
Q Gu, J Cao, Q Peng – Web Services (ICWS), 2016 IEEE …, 2016 – ieeexplore.ieee.org
… Using the discourse parser tool, the engine will also identify relationships between these sentence blocks. … Then we introduce discourse parser, which is a natural language tool to analyze the textual description of a given mashup. …

Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing.
YS Shih, HH Chen – COLING, 2016 – pdfs.semanticscholar.org
… In a pipelined Chinese discourse parser, we identify potential connective candidates by string matching, eliminate non-discourse usages from them with a binary classifier, resolve linking ambiguities among connective components by ranking, disambiguate relation types by a …

Text-level discourse parsing with rich linguistic
G Hirst – Citeseer
… Abstract In this paper, we develop an RST-style text- level discourse parser, based on the HILDA discourse parser (Hernault et al., 2010b). We significantly improve its tree-building step by incorporating our own rich linguistic features. …

Training Data Enrichment for Infrequent Discourse Relations.
K Jiang, G Carenini, RT Ng – COLING, 2016 – aclweb.org
… al., 2016). A multi-sentential discourse parser takes a document as input, and returns its discourse structure that shows how clauses and sentences are related in the document, via the use of various discourse relations. For …

Discourse Relation Sense Classification with Two-Step Classifiers.
Y Kido, A Aizawa – CoNLL Shared Task, 2016 – aclweb.org
… References Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-styled end-to-end discourse parser. … 2015. The UniTN discourse parser in CoNLL 2015 Shared Task: Token-level sequence la- beling with argument-specific models. In Proceed- 134 Page 145. …

COMMIT at SemEval-2016 Task 5: Sentiment Analysis with Rhetorical Structure Theory.
K Schouten, F Frasincar – SemEval@ NAACL-HLT, 2016 – aclweb.org
… To that end, a discourse parser implementing the Rhetorical Structure Theory is employed and the resulting informa- tion is used to determine the context of each aspect, as well as to compute the expressed sentiment in that context by weighing the dis- course relations between …

SDP-JAIST: A Shallow Discourse Parsing system CoNLL 2016 Shared Task
M Nguyen – Proceedings of the CoNLL-16 shared task, 2016 – aclweb.org
… Evgeny Stepanov, Giuseppe Riccardi, and Ali Orkan Bayer. 2015. The unitn discourse parser in conll 2015 shared task: Token-level sequence labeling with argument-specific models. … Jianxiang Wang and Man Lan. 2015. A refined end- to-end discourse parser. …

SDP-JAIST: A Shallow Discourse Parsing system@ CoNLL 2016 Shared Task
NT Son, N Le Minh – ACL 2016, 2016 – anthology.aclweb.org
… Evgeny Stepanov, Giuseppe Riccardi, and Ali Orkan Bayer. 2015. The unitn discourse parser in conll 2015 shared task: Token-level sequence labeling with argument-specific models. … Jianxiang Wang and Man Lan. 2015. A refined end- to-end discourse parser. …

Mining Text at Discourse Level
AD VU, M Amblard, Y Toussaint – 2016 – members.loria.fr
… The definition of discourse relations of these two theories will help develop our discourse parser. 2.1.1 Rhetorical Structure Theory … We decide to em- ploy this approach for our discourse parser because it allows identifying discourse 18 Page 20. …

Discourse Parsing with Attention-based Hierarchical Neural Networks.
Q Li, T Li, B Chang – EMNLP, 2016 – pdfs.semanticscholar.org
… In Current and new directions in discourse and dialogue, pages 85–112. Springer. Vanessa Wei Feng and Graeme Hirst. 2014. A linear- time bottom-up discourse parser with constraints and post-editing. In ACL (1), pages 511–521. Michael Heilman and Kenji Sagae. 2015. …

Learning Connective-based Word Representations for Implicit Discourse Relation Identification.
C Braud, P Denis – EMNLP, 2016 – hal.inria.fr
Page 1. Learning Connective-based Word Representations for Implicit Discourse Relation Identification Chloé Braud, Pascal Denis To cite this version: Chloé Braud, Pascal Denis. Learning Connective-based Word Representations for Implicit Discourse Relation Identification. …

Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization
J Eisenstein – arXiv preprint arXiv:1606.04503, 2016 – arxiv.org
… Jianxiang Wang and Man Lan. 2015. A refined end- to-end discourse parser. In Proceedings of the Nine- teenth Conference on Computational Natural Lan- guage Learning – Shared Task, pages 17–24, Bei- jing, China, July. Association for Computational Linguistics. …

Automatic Question and Answer Pair Generation
K Surya, R Aarthipriya, S Iswarya – ijtrd.com
… In: Proc. of QG2010: The Third Workshop on Question Generation, pp. 84-91, Pitsburg, PA (2010) [2] Hernault, H., Prendinger, H., duVerle, D. and Ishizuka, M. HILDA: A Discourse Parser Using Support Vector Machine Classification. In: Dialogue and Discourse, vol. 1, no. 3, pp. …

Finding Arguments as Sequence Labeling in Discourse Parsing.
Z Fan, Z Li, M Zhang – CoNLL Shared Task, 2016 – aclweb.org
… Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A pdtb-styled end-to-end discourse parser. Natural Language Engineering, 20 (02): 151–184. … 2015. The UniTN discourse parser in conll 2015 shared task: Token-level sequence labeling with argument-specific models. …

Inferring Discourse Relations from PDTB-style Discourse Labels for Argumentative Revision Classification.
F Zhang, DJ Litman, K Forbes-Riley – COLING, 2016 – aclweb.org
… Feng et al. (2014) found that when applied to the tasks of sentence ordering and essay scoring, an RST-style discourse parser outperformed a PDTB-style parser. Performance on both tasks was also likely impacted by parsing errors. …

manual and automatic labeling of discourse Connectives for machine translation
A Popescu-Belis – … Conference Károli Gáspár University of the …, 2016 – textlink.ii.metu.edu.tr
… The features included state-of-the-art po- sitional, word-level and syntactic features, as well as semantically-oriented and contextual features, such as the detection of pairs of synonyms or antonyms on each side of a connective, features from an rSt discourse parser, and timeml …

Modelling the Usage of Discourse Connectives as Rational Speech Acts.
F Yung, K Duh, T Komura, Y Matsumoto – CoNLL, 2016 – aclweb.org
… However, arguments are clauses and sentences. It is not applicable to extract P (s| args, C) from the corpus. We thus approxi- mate I (s; arg, C) by the confidence of a discourse parser in predicting discourse senses from the ar- guments. Details will be explained in Section 3.3. …

Text mining from biomedical domain using a full parser
P Govindarajan… – Inventive Computation …, 2016 – ieeexplore.ieee.org
… 1, 2014, Pages 1188-1198. 19. Ziheng, L., Hwee Tou, N., Min-Yen, K., A PDTB-styled end-to-end discourse parser, Natural Language Engineering ,Volume 20, Issue 2, April 2014, Pages 151-184. 20. Steuernagel, B., Jupe, F …

discourse annotation of Conjoined Vps
B Webbera, R Prasadb, A Leec… – … Structuring Discourse in …, 2016 – textlink.ii.metu.edu.tr
… Subba, r. & di eugenio, b. 2009. an effective discourse parser that uses rich linguistic information. in: Proceedings, Annual Conference of the North American Chapter of the Association for Computational Linguistics, boulder, colorado, June 2009. 566–574.

A discourse-based approach for Arabic question answering
J Sadek, F Meziane – ACM Transactions on Asian and Low-Resource …, 2016 – dl.acm.org
Page 1. 11 A Discourse-Based Approach for Arabic Question Answering JAWAD SADEK and FARID MEZIANE, University of Salford The treatment of complex questions with explanatory answers involves searching for arguments in texts. …

AUTOMATIC SENSE PREDICTION OF IMPLICIT DISCOURSE RELATIONS IN TURKISH
M KURFALI – 2016 – etd.lib.metu.edu.tr
… discourse, discourse parsing. In this sec- tion, the tasks a discourse parser should perform are explained and the previous studies on discourse parsing and sense prediction of the Implicit discourse relations are reviewed. The third …

Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings.
T Mihaylov, A Frank – CoNLL Shared Task, 2016 – anthology.aclweb.org
… Evgeny Stepanov, Giuseppe Riccardi, and Ali Orkan Bayer. 2015. The unitn discourse parser in conll 2015 shared task: Token-level sequence labeling with argument-specific models. … Jianxiang Wang and Man Lan. 2015. A refined end- to-end discourse parser. …

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection.
JJ Li, A Nenkova – HLT-NAACL, 2016 – anthology.aclweb.org
… Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-styled end-to-end discourse parser. Natural Language Engineering, 20:151–184. Annie Louis and Ani Nenkova. 2010. Creating local coherence: An empirical assessment. …

Comparing discourse annotation Schemes from an nlp perspective
C Braud – … Structuring Discourse in Multilingual Europe Second …, 2016 – textlink.ii.metu.edu.tr
… rapp. tech. university of Southern california information Sciences institute. ? feng, V. f. & hirst, G. 2014. a linear-time bottom-up discourse parser with constraints and post-editing. in: Proceedings of ACL. … 2010. A PDTB-styled end-to-end discourse parser. university of Singapore. …

dIScourSE StructurE And contEnt AnALYSIS: A COMPuTATIONAL LINGuISTICS’APPROACH
R Talhadas, UA FCHS, N Mamede… – … in Social and Human …, 2016 – sapientia.ualg.pt
… language. This approach leads to higher precision when compared to statistical segmenters. The same approach has also been used for Brazilian Portuguese discourse parser DiZer (Pardo, 2004; Pardo and Nunes, 2008). In …

DISCOURSE ANALYSIS OF LYRIC AND LYRIC-BASED CLASSIFICATION OF MUSIC
F JIAKUN – 2016 – scholarbank.nus.edu.sg
Page 1. DISCOURSE ANALYSIS OF LYRIC AND LYRIC-BASED CLASSIFICATION OF MUSIC JIAKUN FANG B.Eng., Northeastern University of China A THESIS SUBMITTED FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE …

Recognizing the Absence of Opposing Arguments in Persuasive Essays
C Stab, I Gurevych – ACL 2016, 2016 – aclweb.org
… Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A pdtb-styled end-to-end discourse parser. Natural Language Engineering, 20 (2): 151–184. Raquel Mochales-Palau and Marie-Francine Moens. 2011. Argumentation mining. Artificial Intelligence and Law, 19 (1): 1–22. …

A Bilingual Discourse Corpus and Its Applications.
Y Liu, J Zhang, C Zong, Y Yang, X Zhou – LREC, 2016 – nlpr.ia.ac.cn
… Finally, we design a bilingual discourse based method for machine translation evaluation and show the effectiveness of our bilingual discourse annotations. Keywords: discourse analysis, bilingual discourse parser, SMT metric with discourse information …

Computing Sentiment Polarity of Opinion WHY Type Question for Intention Mining of Questioners in Question Answering Systems.
A Mishra, SK Jain – Research in Computing Science, 2016 – rcs.cic.ipn.mx
… We make use of a discourse parser [9] to fragment questions into different text segments for effective opinion mining. … 9. A PDTB-Styled End-to-End Discourse Parser developed by Ziheng Lin et al. http://wing. comp. nus. edu. sg/~ linzihen/parser/ 10. …

discourse analysis of sanskrit texts: first attempt towards computational processing
M Das – 2016 – sanskrit.uohyd.ac.in
… Sa?gati is a theory of text representation which shows the continuity between texts. Discourse parser which uses Rhetorical Structure Theory (RST) in union with sa?gati is proposed by Subalalitha and Parthasarathi (2012). …

Speech and Computer: 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings
A Ronzhin, R Potapova, G Németh – 2016 – books.google.com
… 714 Andrey Barabanov and Aleksandr Melnikov Unsupervised Trained Functional Discourse Parser for e-Learning Materials Scaffolding….. 722 Varvara Krayvanova and Svetlana Duka Author Index….. 729 Page 19. Invited Talks …

Adapting Event Embedding for Implicit Discourse Relation Recognition.
ML Pacheco, IT Lee, X Zhang, AK Zehady… – CoNLL Shared …, 2016 – anthology.aclweb.org
… Jianxiang Wang and Man Lan. 2015. A refined end-to-end discourse parser. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning-Shared Task, pages 17–24, Beijing, China, July. Association for Computational Linguistics. …

Neural Discourse Modeling
AT Rutherford – 2016 – search.proquest.com
… Discourse parser may be used as another preprocessing step that enhances downstream tasks such as automatic essay grading, machine translation, information extraction, and natural language understanding in general. …

Author Profiling from Personal Content Blogs
A Singhal, A Patni, S Dan, B Kulkarni, P Yadav… – aseempatni.com
… 4) # of discourse relations within the text: Using a Java-based end-to-end PDTB-styled Discourse Parser to identify implicit & explicit discourse relations and keeping a count of each of them. 5) # of quotations used in the text: Checking for oc- currences of ‘”’ in the blog text. …

A Discourse-Annotated Corpus of Conjoined VPs
B Webber, R Prasad, A Lee, A Joshi – LAW X, 2016 – aclweb.org
Page 34. Proceedings of LAW X–The 10th Linguistic Annotation Workshop, pages 22–31, Berlin, Germany, August 11, 2016. cO2016 Association for Computational Linguistics A Discourse-Annotated Corpus of Conjoined VPs …

Dropped pronoun generation for dialogue machine translation
L Wang, X Zhang, Z Tu, H Li… – Acoustics, Speech and …, 2016 – ieeexplore.ieee.org
… pp. 194–203. [5] Longyue Wang, Chris Hokamp, Tsuyoshi Okita, Xiao- jun Zhang, and Qun Liu, “The dcu discourse parser for connective, argument identification and explicit sense classification,” CoNLL 2015, p. 89, 2015. [6 …

Semantic representation learning for discourse processing
Y Ji – 2016 – aragorn.library.gatech.edu
Page 1. SEMANTIC REPRESENTATION LEARNING FOR DISCOURSE PROCESSING A Thesis Proposal Presented to The Academic Faculty by Yangfeng Ji In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the School of Interactive Computing …

Neural Discourse Relation Recognition with Semantic Memory
B Zhang, D Xiong, J Su – arXiv preprint arXiv:1603.03873, 2016 – arxiv.org
Page 1. Neural Discourse Relation Recognition with Semantic Memory Biao Zhang1,2, Deyi Xiong2 and Jinsong Su1 Xiamen University, Xiamen, China 3610051 Soochow University, Suzhou, China 2150062 zb@stu.xmu.edu.cn, jssu@xmu.edu.cn dyxiong@suda.edu.cn …

This is how we do it: Answer reranking for open-domain how questions with paragraph vectors and minimal feature engineering
D Bogdanova, J Foster – 2016 – doras.dcu.ie
… discourse. In particular, they show how discourse in- formation (obtained either via a discourse parser or using shallow techniques based on discourse mark- ers) can complement distributed lexical semantic in- formation. Sharp et al. …

Citation block determination using textual coherence
D Kaplan, T Tokunaga, S Teufel – Journal of Information Processing, 2016 – jstage.jst.go.jp
Page 1. Journal of Information Processing Vol.24 No.3 540–553 (May 2016) [DOI: 10.2197/ipsjjip.24.540] Regular Paper Citation Block Determination Using Textual Coherence Dain Kaplan1,†1,a) Takenobu Tokunaga2,b) Simone Teufel1,c) …

Variational Neural Discourse Relation Recognizer
B Zhang, D Xiong, J Su, Q Liu, R Ji, H Duan… – arXiv preprint arXiv …, 2016 – arxiv.org
Page 1. Variational Neural Discourse Relation Recognizer Biao Zhang1, Deyi Xiong2?, Jinsong Su1, Qun Liu3,4, Rongrong Ji1, Hong Duan1, Min Zhang2 Xiamen University, Xiamen, China 3610051 Provincial Key Laboratory …

LICO: A Lexicon of Italian Connectives
A Feltracco, E Jezek, B Magnini, M Stede – CLiC it, 2016 – researchgate.net
… Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A pdtb-styled end-to-end discourse parser. Natural Language Engineering, 20: 151–184. 8For this moment, the “new” relations are not included in LICO. William C Mann and Sandra A Thompson. 1988. …

Exploring linguistic structure for aspect-based sentiment analysis
N Sanglerdsinlapachai… – … Journal of Science …, 2016 – search.proquest.com
… DA duVerle and H. Prendinger, “A novel discourse parser based on support vector machine classification”, Proceedings of the Joint Conference of 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language …

Rhetorical relations revisited across distinct levels of discourse unit granularity
H Zhang, H Liu – Discourse Studies, 2016 – journals.sagepub.com

Survey on aspect-level sentiment analysis
K Schouten, F Frasincar – IEEE Transactions on Knowledge …, 2016 – ieeexplore.ieee.org
Page 1. Survey on Aspect-Level Sentiment Analysis Kim Schouten and Flavius Frasincar Abstract—The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated from text, has seen a lot of attention in the last few years. …

Natural Language Understanding and Intelligent Applications: 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016 …
CY Lin, N Xue, D Zhao, X Huang, Y Feng – 2016 – books.google.com
… 374 Haoran Li, Jiajun Zhang, Yu Zhou, and Chengqing Zong A CDT-Styled End-to-End Chinese Discourse Parser….. 387 Fang Kong, Hongling Wang, and Guodong Zhou NLP for Social Media Events Detection and Temporal Analysis in Social Media….. …

Discourse relations and evaluation
R Trnavac, D Das, M Taboada – Corpora, 2016 – euppublishing.com
… for the overall sentiment. Heerschop et al. (2011) have used an RST discourse parser in order to calculate semantic orientation at the document level by weighting the nuclei more heavily. The authors hypothesise that there …

Modeling content and structure for abstractive review summarization
S Gerani, G Carenini, RT Ng – Computer Speech & Language, 2016 – Elsevier
… association and importance. However, there might be situations where discourse structure is unreliable (eg due to the inaccuracy of the discourse parser) or difficult to obtain (eg due to the informal or poor quality of the text). Thus we …

Detecting the central units in two different genres and languages: a preliminary study of Brazilian Portuguese and Basque texts
M Iruskieta, G Labaka, JD Antonio – Procesamiento del Lenguaje …, 2016 – journal.sepln.org
… pp. 253–256. Pardo, TAS, and MGV Nunes. 2008. On the Development and Evaluation of a Brazilian Portuguese Discourse Parser. Journal of Theoretical and Applied Computing, Vol. 15, N. 2, pp. 43–64. Pardo, TAS, and ERM Seno. 2005. …

Detecting the central units in two different genres and languages: a preliminary study of Brazilian Portuguese and Basque texts
M Iruskieta Quintian, G Labaka Intxauspe, JD Antonio – 2016 – rua.ua.es
… pp. 253–256. Pardo, TAS, and MGV Nunes. 2008. On the Development and Evaluation of a Brazilian Portuguese Discourse Parser. Journal of Theoretical and Applied Computing, Vol. 15, N. 2, pp. 43–64. Pardo, TAS, and ERM Seno. 2005. …

Employing External Rich Knowledge for Machine Comprehension.
B Wang, S Guo, K Liu, S He, J Zhao – IJCAI, 2016 – pdfs.semanticscholar.org
… (4) Kapashi [2015] uses memory network to train a model on MCTest (5) Narasimhan[2015] builds a discourse parser to model the relationship between two selected sentences. (6) Wang[2015] uses a lot of features 2933 Page 6. …

A survey of temporal information extraction and language independent features
CG Lim – Big Data and Smart Computing (BigComp), 2016 …, 2016 – ieeexplore.ieee.org
… Engineering, vol. 13, no. 02, pp. 95–135, 2007. [4] SC Navaneethakrishnan and R. Parthasarathi, “Building a language- independent discourse parser using universal networking language,” Computational Intelligence, 2014. [5] R …

Explorando mapas de relacionamento com base em subtópicos para sumarização multidocumento Exploring the subtopic-based relationship map strategy for …
R Ribaldo, PCF Cardoso, TAS Pardo – icmc.usp.br
… For Portuguese, it is available a discourse parser for CST called CSTParser [35, 36], with a general accuracy of 68%. In this paper, we have used the manual annotation already available in our corpus, but, if one desires, the …

Exploring the subtopic-based relationship map strategy for multi-document summarization
R Ribaldo, PCF Cardoso, TAS Pardo – Revista de Informática Teórica e …, 2016 – seer.ufrgs.br
… For Portuguese, it is available a discourse parser for CST called CSTParser [35, 36], with a general accuracy of 68%. In this paper, we have used the manual annotation already available in our corpus, but, if one desires, the …

MultiLingMine 2016: modeling, learning and mining for cross/multilinguality
D Lenco, M Roche, S Romeo, P Rosso, A Tagarelli – 2016 – agritrop.cirad.fr
Page 1. Page 2. MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality Salvatore Romeo1, Andrea Tagarelli2, Dino Ienco3, Mathieu Roche4, and Paolo Rosso5 1 Qatar Computing Research Institute, Doha …

Inferring Implicit Causal Relationships in Biomedical Literature
H Kilicoglu – ACL 2016, 2016 – aclweb.org
Page 58. Proceedings of the 15th Workshop on Biomedical Natural Language Processing, pages 46–55, Berlin, Germany, August 12, 2016. cO2016 Association for Computational Linguistics Inferring Implicit Causal Relationships …

Sentiment analysis: An overview from linguistics
M Taboada – Annual Review of Linguistics, 2016 – annualreviews.org

Tailoring dependency models to NLP tasks
B Kolz – 2016 – tdx.cat
… 2.3.2.2 In Logics …………… 39 2.3.3 Discourse Parser …………… 43 … differences in linguistic information they require. A discourse parser (Sagae, 2009; Yoshida et al., 2014), for example, finds important …

Rephrase in Argument Structure
B KONAT, K BUDZYNSKA, P SAINT-DIZIER – Patrick Saint-Dizier – ling.uni-potsdam.de
… Computational Linguistics, 2012. [11] AT Rutherford and N. Xue,“Robust non-explicit neural discourse parser in English and Chinese,” in Proceedings of ACL 2016, Association for Computational Linguistics, 2016. [12] G. Hirst …

A survey on question answering systems with classification
A Mishra, SK Jain – Journal of King Saud University-Computer and …, 2016 – Elsevier
Question answering systems (QASs) generate answers of questions asked in natural languages. Early QASs were developed for restricted domains and have limited ca.

An Automatic Analysis of Argumentation Schemes of Korean Texts
??? – 2016 – s-space.snu.ac.kr
… Structure Theory. Lin, Ng, and Kan (2014) also implemented an automatic discourse parser, using the discourse information from Penn Discourse Tree- Bank (Prasad et al., 2007). In summary, many previous studies build individual frames to identify ba- …

CONTEXT-AWARE ARGUMENT MINING AND ITS APPLICATIONS IN EDUCATION
HV Nguyen – 2016 – people.cs.pitt.edu
Page 1. CONTEXT-AWARE ARGUMENT MINING AND ITS APPLICATIONS IN EDUCATION by Huy V. Nguyen Bachelor of Engineering Hanoi University of Sciences and Technologies, Vietnam 2007 Submitted to the Graduate Faculty of …

Mass Collaboration on the Web: Textual Content Analysis by Means of Natural Language Processing
I Habernal, J Daxenberger, I Gurevych – Mass Collaboration and …, 2016 – Springer
… set incorporates morphological features, syntactic features, coreference features, features obtained from semantic frames, features based on sentiment analysis, features exploiting unsupervised models (LDA and word embedding), and features produced by a discourse parser. …

Document-Level Machine Translation Quality Estimation
C Scarton – 2016 – etheses.whiterose.ac.uk
Page 1. Document-Level Machine Translation Quality Estimation A Thesis submitted to the University of Sheffield for the degree of Doctor of Philosophy in the Faculty of Engineering by Carolina Scarton Department of Computer Science University of Sheffield September 2016 …

Identifying Expressions of Emotions and Their Stimuli in Text
D Ghazi – 2016 – ruor.uottawa.ca
Page 1. Identifying Expressions of Emotions and Their Stimuli in Text by Diman Ghazi Thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the Ph.D. degree in Computer Science …

Leveraging Spectral, Latent-Variable Methods to Learn from Weakly Labeled Data
RWH Fisher – 2016 – cs.cmu.edu
Page 1. March 21, 2016 DRAFT Leveraging Spectral, Latent-Variable Methods to Learn from Weakly Labeled Data Robert WH Fisher April 2016 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 …

Situation Entity Types: a Cross-linguistic Corpus Study and a Comparison of Automatic Classifiers
KI Mavridou – 2016 – coli.uni-saarland.de
Page 1. Saarland University Department of Computational Linguistics Master Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computational Linguistics Situation Entity Types: a Cross-linguistic Corpus Study and …

ExploringWeakly Labeled Data Across the Noise-Bias Spectrum
RWH Fisher – 2016 – repository.cmu.edu
Page 1. Carnegie Mellon University Research Showcase @ CMU Dissertations Theses and Dissertations Spring 4-2016 ExploringWeakly Labeled Data Across the Noise- Bias Spectrum Robert WH Fisher Carnegie Mellon University …

Identifying and Resolving Entities in Text
GC Durrett – 2016 – search.proquest.com
Identifying and Resolving Entities in Text. Abstract. When automated systems attempt to deal with unstructured text, a key subproblem is identifying the relevant actors in that text—answering the “who” of the narrative being presented. …

Mémoire
ÀD L’HABILITATION – 2016 – irit.fr
… I explored these tasks from an NLP perspective proposing for the first time the first partial discourse parser for Arabic, but also from a conceptual perspective studying discourse relation taxonomies across discourse theories and the way they can be merged onto a unified …

Fracture Mechanics Method for Word Embedding Generation of Neural Probabilistic Linguistic Model
S Bi, X Liang, T Huang – Computational intelligence and neuroscience, 2016 – hindawi.com
Computational Intelligence and Neuroscience is a forum for the interdisciplinary field of neural computing, neural engineering and artificial intelligence, where neuroscientists, cognitive scientists, engineers, psychologists, physicists, computer scientists, and artificial intelligence investigators …

Textual Inference for Machine Comprehension
M Gleize – 2016 – theses.fr
Page 1. Le cas échéant, logo de l’établissement co-délivrant le doctorat en cotutelle internationale de thèse , sinon mettre le logo de l’établissement de préparation de la thèse (UPSud, HEC, UVSQ, UEVE, ENS Cachan, Polytechnique, IOGS, …) NNT : 2016SACLS004 …