---
title: "Discourse analysis — library papers, page 2"
description: "Discourse analysis: 338 papers of the Elamur Research library on it, the most cited first — each with our summary, its ideas, references and who cites it."
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# Discourse analysis — papers in the library

338 papers · [the topic and Mova's cards](https://md.research.elamur.ai/free/en/topics/discourse-analysis/)

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- [Integer Linear Programming for Discourse Parsing](https://md.research.elamur.ai/free/en/papers/perret-2016-integer-linear-programming-discourse-parsing/) — Jérémy Perret, Stergos Afantenos, Nicholas Asher, et al. · Proceedings of the 2016 Conference of the North…
- [Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations](https://md.research.elamur.ai/free/en/papers/long-2022-facilitating-contrastive-learning-discourse-relational/) — Wanqiu Long, Bonnie Webber · Proceedings of the 2022 Conference on Empirical…
- [rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations](https://md.research.elamur.ai/free/en/papers/zeldes-2016-rstweb-browser-based-annotation-interface/) — Amir Zeldes · Proceedings of the 2016 Conference of the North…
- [A Rule Based Approach to Discourse Parsing](https://md.research.elamur.ai/free/en/papers/polanyi-2004-rule-based-approach-discourse-parsing/) — Livia Polanyi, Chris Culy, Martin van den Berg, et al. · Proceedings of the 5th SIGdial Workshop on…
- [Context-aware Frame-Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/roth-2015-context-aware-frame-semantic-role/) — Michael Roth, Mirella Lapata · Research library
- [Discourse Relations and Defeasible Knowledge](https://md.research.elamur.ai/free/en/papers/lascarides-1991-discourse-relations-defeasible-knowledge/) — Alex Lascarides, Nicholas Asher · 29th Annual Meeting of the Association for…
- [The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse](https://md.research.elamur.ai/free/en/papers/cabot-2020-pragmatics-behind-politics-modelling-metaphor/) — Pere-Lluís Huguet Cabot, Verna Dankers, David Abadi, et al. · Findings of the Association for Computational…
- [Multi-Relational Script Learning for Discourse Relations](https://md.research.elamur.ai/free/en/papers/lee-2019-multi-relational-script-learning-discourse/) — I-Ta Lee, Dan Goldwasser · Proceedings of the 57th Annual Meeting of the…
- [The Potsdam Commentary Corpus 2.2: Extending Annotations for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/bourgonje-2020-potsdam-commentary-corpus-2-2/) — Peter Bourgonje, Manfred Stede · Proceedings of the Twelfth Language Resources…
- [A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure](https://md.research.elamur.ai/free/en/papers/zhang-2020-top-down-neural-architecture-text/) — Longyin Zhang, Yuqing Xing, Fang Kong, et al. · Proceedings of the 58th Annual Meeting of the…
- [Discourse Deixis: Reference to Discourse Segments](https://md.research.elamur.ai/free/en/papers/webber-1988-discourse-deixis-reference-discourse-segments/) — Bonnie Lynn Webber · 26th Annual Meeting of the Association for…
- [DiMLex: A Lexicon of Discourse Markers for Text Generation and Understanding](https://md.research.elamur.ai/free/en/papers/stede-1998-dimlex-lexicon-discourse-markers-text/) — Manfred Stede, Carla Umbach · 36th Annual Meeting of the Association for…
- [Fast Rhetorical Structure Theory Discourse Parsing](https://md.research.elamur.ai/free/en/papers/heilman-2015-fast-rhetorical-structure-theory-discourse/) — Michael Heilman, Kenji Sagae · arXiv:1505.02425
- [RSTTool 2.4 - A markup Tool for Rhetorical Structure Theory](https://md.research.elamur.ai/free/en/papers/donnell-2000-rsttool-2-4-markup-tool/) — Michael O'Donnell · INLG'2000 Proceedings of the First…
- [“Caption” as a Coherence Relation: Evidence and Implications](https://md.research.elamur.ai/free/en/papers/alikhani-2019-caption-as-coherence-relation-evidence/) — Malihe Alikhani, Matthew Stone · Proceedings of the Second Workshop on…
- [Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2022-prompt-based-connective-prediction-method/) — Hao Zhou, Man Lan, Yuanbin Wu, et al. · Findings of the Association for Computational…
- [Comparing Word Representations for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/braud-2015-comparing-word-representations-implicit-discourse/) — Chloé Braud, Pascal Denis · Proceedings of the 2015 Conference on Empirical…
- [Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/lan-2013-leveraging-synthetic-discourse-data-multi/) — Man Lan, Yu Xu, Zhengyu Niu · Proceedings of the 51st Annual Meeting of the…
- [CITE: A Corpus of Image-Text Discourse Relations](https://md.research.elamur.ai/free/en/papers/alikhani-2019-cite-corpus-image-text-discourse/) — Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, et al. · Proceedings of the 2019 Conference of the North…
- [Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference](https://md.research.elamur.ai/free/en/papers/held-2021-focus-what-matters-applying-discourse/) — William Held, Dan Iter, Dan Jurafsky · Proceedings of the 2021 Conference on Empirical…
- [Predicting the Presence of Discourse Connectives](https://md.research.elamur.ai/free/en/papers/patterson-2013-predicting-presence-discourse-connectives/) — Gary Patterson, Andrew Kehler · Proceedings of the 2013 Conference on Empirical…
- [Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task](https://md.research.elamur.ai/free/en/papers/yung-2019-crowdsourcing-discourse-relation-annotations-two/) — Frances Yung, Vera Demberg, Merel Scholman · Proceedings of the 13th Linguistic Annotation…
- [Pragmatic competence of pre-trained language models through the lens of discourse connectives](https://md.research.elamur.ai/free/en/papers/pandia-2021-pragmatic-competence-pre-trained-language/) — Lalchand Pandia, Yan Cong, Allyson Ettinger · Proceedings of the 25th Conference on…
- [Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation](https://md.research.elamur.ai/free/en/papers/liu-2023-annotation-inspired-implicit-discourse-relation/) — Wei Liu, Michael Strube · Proceedings of the 61st Annual Meeting of the…
- [Multi-view and multi-task training of RST discourse parsers](https://md.research.elamur.ai/free/en/papers/braud-2016-multi-view-multi-task-training/) — Chloé Braud, Barbara Plank, Anders Søgaard · Proceedings of COLING 2016, the 26th…
- [Generating Anaphoric Expressions: Pronoun or Definite Description?](https://md.research.elamur.ai/free/en/papers/mccoy-1999-generating-anaphoric-expressions-pronoun-or/) — Kathleen E. McCoy, Michael Strube · The Relation of Discourse/Dialogue Structure…
- [The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic](https://md.research.elamur.ai/free/en/papers/saif-2010-leeds-arabic-discourse-treebank-annotating/) — Amal Al-Saif, Katja Markert · Proceedings of the Seventh International…
- [Learning Connective-based Word Representations for Implicit Discourse Relation Identification](https://md.research.elamur.ai/free/en/papers/braud-2016-learning-connective-based-word-representations/) — Chloé Braud, Pascal Denis · Proceedings of the 2016 Conference on Empirical…
- [Using entity features to classify implicit discourse relations](https://md.research.elamur.ai/free/en/papers/louis-2010-entity-features-classify-implicit-discourse/) — Annie Louis, Aravind Joshi, Rashmi Prasad, et al. · Proceedings of the SIGDIAL 2010 Conference
- [Abstract Generation Based on Rhetorical Structure Extraction](https://md.research.elamur.ai/free/en/papers/ono-1994-abstract-generation-based-rhetorical-structure/) — Kenji Ono, Kazuo Sumita, Seiji Miike · COLING 1994 Volume 1: The 15th International…
- [Adversarial Learning for Discourse Rhetorical Structure Parsing](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/) — Longyin Zhang, Fang Kong, Guodong Zhou · Proceedings of the 59th Annual Meeting of the…
- [Introducing the Prague Discourse Treebank 1.0](https://md.research.elamur.ai/free/en/papers/polakova-2013-introducing-prague-discourse-treebank-1/) — Lucie Poláková, Jiří Mírovský, Anna Nedoluzhko, et al. · Proceedings of the Sixth International Joint…
- [Annotating Discourse Connectives in the Chinese Treebank](https://md.research.elamur.ai/free/en/papers/xue-2005-annotating-discourse-connectives-chinese-treebank/) — Nianwen Xue · Proceedings of the Workshop on Frontiers in…
- [Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities](https://md.research.elamur.ai/free/en/papers/zhou-2011-unsupervised-discovery-discourse-relations-eliminating/) — Lanjun Zhou, Binyang Li, Wei Gao, et al. · Proceedings of the 2011 Conference on Empirical…
- [Where Are We in Discourse Relation Recognition?](https://md.research.elamur.ai/free/en/papers/atwell-2021-where-are-we-discourse-relation/) — Katherine Atwell, Junyi Jessy Li, Malihe Alikhani · Proceedings of the 22nd Annual Meeting of the…
- [Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings](https://md.research.elamur.ai/free/en/papers/nguyen-2019-employing-correspondence-relations-connectives-identify/) — Linh The Nguyen, Linh Van Ngo, Khoat Than, et al. · Proceedings of the 57th Annual Meeting of the…
- [Machine Translation of Labeled Discourse Connectives](https://md.research.elamur.ai/free/en/papers/meyer-2012-machine-translation-labeled-discourse-connectives/) — Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, et al. · Proceedings of the 10th Conference of the…
- [Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/) — Yin Jou Huang, Sadao Kurohashi · Proceedings of the 16th Conference of the…
- [Top-down Discourse Parsing via Sequence Labelling](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/) — Fajri Koto, Jey Han Lau, Timothy Baldwin · Proceedings of the 16th Conference of the…
- [Shallow Discourse Parsing Using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/qin-2016-shallow-discourse-parsing-convolutional-neural/) — Lianhui Qin, Zhisong Zhang, Hai Zhao · Proceedings of the CoNLL-16 shared task
- [Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task](https://md.research.elamur.ai/free/en/papers/wang-2016-two-end-end-shallow-discourse/) — Jianxiang Wang, Man Lan · Proceedings of the CoNLL-16 shared task
- [Multilingual Neural RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/liu-2020-multilingual-neural-rst-discourse-parsing/) — Zhengyuan Liu, Ke Shi, Nancy Chen · Proceedings of the 28th International…
- [Discourse Coherence: Concurrent Explicit and Implicit Relations](https://md.research.elamur.ai/free/en/papers/rohde-2018-discourse-coherence-concurrent-explicit-implicit/) — Hannah Rohde, Alexander Johnson, Nathan Schneider, et al. · Proceedings of the 56th Annual Meeting of the…
- [Detecting Subevents using Discourse and Narrative Features](https://md.research.elamur.ai/free/en/papers/aldawsari-2019-detecting-subevents-discourse-narrative-features/) — Mohammed Aldawsari, Mark Finlayson · Proceedings of the 57th Annual Meeting of the…
- [Automatic Prediction of Discourse Connectives](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/) — Eric Malmi, Daniele Pighin, Sebastian Krause, et al. · Proceedings of the Eleventh International…
- [A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/) — Zeyu Dai, Ruihong Huang · Proceedings of the 2019 Conference on Empirical…
- [Anaphoric Annotation of Wikipedia and Blogs in the Live Memories Corpus](https://md.research.elamur.ai/free/en/papers/rodriguez-2010-anaphoric-annotation-wikipedia-blogs-live/) — Kepa Joseba Rodríguez, Francesca Delogu, Yannick Versley, et al. · Proceedings of the Seventh International…
- [Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure](https://md.research.elamur.ai/free/en/papers/allen-2014-detecting-disagreement-conversations-pseudo-monologic/) — Kelsey Allen, Giuseppe Carenini, Raymond Ng · Proceedings of the 2014 Conference on Empirical…
- [Chinese Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/huang-2011-chinese-discourse-relation-recognition/) — Hen-Hsen Huang, Hsin-Hsi Chen · Proceedings of 5th International Joint…
- [The MATE meta-scheme for coreference in dialogues in multiple languages](https://md.research.elamur.ai/free/en/papers/poesio-1999-mate-meta-scheme-coreference-dialogues/) — M. Poesio, F. Bruneseaux, L. Romary · Towards Standards and Tools for Discourse…
- [Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction](https://md.research.elamur.ai/free/en/papers/kurfal-2021-let-s-be-explicit-about/) — Murathan Kurfalı, Robert Östling · Proceedings of the 1st Workshop on…
- [The Role of Pragmatic and Discourse Context in Determining Argument Impact](https://md.research.elamur.ai/free/en/papers/durmus-2019-role-pragmatic-discourse-context-determining/) — Esin Durmus, Faisal Ladhak, Claire Cardie · Proceedings of the 2019 Conference on Empirical…
- [A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing](https://md.research.elamur.ai/free/en/papers/kong-2014-constituent-based-approach-argument-labeling/) — Fang Kong, Hwee Tou Ng, Guodong Zhou · Proceedings of the 2014 Conference on Empirical…
- [Exploiting Scope for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/prasad-2010-exploiting-scope-shallow-discourse-parsing/) — Rashmi Prasad, Aravind Joshi, Bonnie Webber · Proceedings of the Seventh International…
- [One Model to Learn Both: Zero Pronoun Prediction and Translation](https://md.research.elamur.ai/free/en/papers/wang-2019-one-model-learn-both-zero/) — Longyue Wang, Zhaopeng Tu, Xing Wang, et al. · Proceedings of the 2019 Conference on Empirical…
- [Structured Dialogue Discourse Parsing](https://md.research.elamur.ai/free/en/papers/chi-2022-structured-dialogue-discourse-parsing/) — Ta-Chung Chi, Alexander Rudnicky · Proceedings of the 23rd Annual Meeting of the…
- [Learning Contextually Informed Representations for Linear-Time Discourse Parsing](https://md.research.elamur.ai/free/en/papers/liu-2017-learning-contextually-informed-representations-linear/) — Yang Liu, Mirella Lapata · Proceedings of the 2017 Conference on Empirical…
- [RST Discourse Parsing with Second-Stage EDU-Level Pre-training](https://md.research.elamur.ai/free/en/papers/yu-2022-rst-discourse-parsing-second-stage/) — Nan Yu, Meishan Zhang, Guohong Fu, et al. · Proceedings of the 60th Annual Meeting of the…
- [Robust Non-Explicit Neural Discourse Parser in English and Chinese](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/) — Attapol Rutherford, Nianwen Xue · Proceedings of the CoNLL-16 shared task
- [Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources](https://md.research.elamur.ai/free/en/papers/wellner-2006-classification-discourse-coherence-relations-exploratory/) — Ben Wellner, James Pustejovsky, Catherine Havasi, et al. · Proceedings of the 7th SIGdial Workshop on…
- [Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation](https://md.research.elamur.ai/free/en/papers/jiang-2021-not-just-classification-recognizing-implicit/) — Feng Jiang, Yaxin Fan, Xiaomin Chu, et al. · Proceedings of the 2021 Conference on Empirical…
- [ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-connprompt-connective-cloze-prompt-learning/) — Wei Xiang, Zhenglin Wang, Lu Dai, et al. · Proceedings of the 29th International…
- [Kernel Based Discourse Relation Recognition with Temporal Ordering Information](https://md.research.elamur.ai/free/en/papers/wang-2010-kernel-based-discourse-relation-recognition/) — WenTing Wang, Jian Su, Chew Lim Tan · Proceedings of the 48th Annual Meeting of the…
- [Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning](https://md.research.elamur.ai/free/en/papers/guo-2018-implicit-discourse-relation-recognition-neural/) — Fengyu Guo, Ruifang He, Di Jin, et al. · Proceedings of the 27th International…
- [The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error](https://md.research.elamur.ai/free/en/papers/atwell-2022-change-that-matters-discourse-parsing/) — Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, et al. · Findings of the Association for Computational…
- [The Utility of Discourse Parsing Features for Predicting Argumentation Structure](https://md.research.elamur.ai/free/en/papers/hewett-2019-utility-discourse-parsing-features-predicting/) — Freya Hewett, Roshan Prakash Rane, Nina Harlacher, et al. · Proceedings of the 6th Workshop on Argument…
- [Implicit Discourse Relation Recognition by Selecting Typical Training Examples](https://md.research.elamur.ai/free/en/papers/wang-2012-implicit-discourse-relation-recognition-selecting/) — Xun Wang, Sujian Li, Jiwei Li, et al. · Proceedings of COLING 2012
- [GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing](https://md.research.elamur.ai/free/en/papers/peng-2022-gcdt-chinese-rst-treebank-multigenre/) — Siyao Peng, Yang Janet Liu, Amir Zeldes · Proceedings of the 2nd Conference of the…
- [Discourse Structure in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/joty-2017-discourse-structure-machine-translation-evaluation/) — Shafiq Joty, Francisco Guzmán, Lluís Màrquez, et al. · Computational Linguistics
- [A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension](https://md.research.elamur.ai/free/en/papers/hernault-2010-semi-supervised-approach-improve-classification/) — Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka · Proceedings of the 2010 Conference on Empirical…
- [Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) — Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al. · Research library
- [Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations](https://md.research.elamur.ai/free/en/papers/scholman-2017-examples-specifications-that-prove-point/) — Merel C.J. Scholman, Vera Demberg · Research library
- [Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity](https://md.research.elamur.ai/free/en/papers/liu-2023-why-can-t-discourse-parsing/) — Yang Janet Liu, Amir Zeldes · Proceedings of the 17th Conference of the…
- [MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/) — Patrick Huber, Giuseppe Carenini · Proceedings of the 2020 Conference on Empirical…
- [Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/) — Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein · Proceedings of the 2015 Conference on Empirical…
- [Neural Generative Rhetorical Structure Parsing](https://md.research.elamur.ai/free/en/papers/mabona-2019-neural-generative-rhetorical-structure-parsing/) — Amandla Mabona, Laura Rimell, Stephen Clark, et al. · Proceedings of the 2019 Conference on Empirical…
- [Learning Recursive Segments for Discourse Parsing](https://md.research.elamur.ai/free/en/papers/afantenos-2010-learning-recursive-segments-discourse-parsing/) — Stergos Afantenos, Pascal Denis, Philippe Muller, et al. · Proceedings of the Seventh International…
- [Coreference for Discourse Parsing: A Neural Approach](https://md.research.elamur.ai/free/en/papers/guz-2020-coreference-discourse-parsing-neural-approach/) — Grigorii Guz, Giuseppe Carenini · Proceedings of the First Workshop on…
- [Annotating Attribution in the Penn Discourse TreeBank](https://md.research.elamur.ai/free/en/papers/prasad-2006-annotating-attribution-penn-discourse-treebank/) — Rashmi Prasad, Nikhil Dinesh, Alan Lee, et al. · Proceedings of the Workshop on Sentiment and…
- [On the Information Conveyed by Discourse Markers](https://md.research.elamur.ai/free/en/papers/asr-2013-information-conveyed-discourse-markers/) — Fatemeh Torabi Asr, Vera Demberg · Proceedings of the Fourth Annual Workshop on…
- [Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings](https://md.research.elamur.ai/free/en/papers/qin-2016-implicit-discourse-relation-recognition-context/) — Lianhui Qin, Zhisong Zhang, Hai Zhao · Proceedings of COLING 2016, the 26th…
- [discopy: A Neural System for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/knaebel-2021-discopy-neural-system-shallow-discourse/) — René Knaebel · Proceedings of the 2nd Workshop on…
- [Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/jiang-2023-global-local-hierarchy-aware-contrastive/) — Yuxin Jiang, Linhan Zhang, Wei Wang · Findings of the Association for Computational…
- [Using Phrasal Patterns to Identify Discourse Relations](https://md.research.elamur.ai/free/en/papers/saito-2006-phrasal-patterns-identify-discourse-relations/) — Manami Saito, Kazuhide Yamamoto, Satoshi Sekine · Proceedings of the Human Language Technology…
- [Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations](https://md.research.elamur.ai/free/en/papers/miao-2024-discursive-socratic-questioning-evaluating-faithfulness/) — Yisong Miao, Hongfu Liu, Wenqiang Lei, et al. · Proceedings of the 62nd Annual Meeting of the…
- [Reducing Sparsity Improves the Recognition of Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/li-2014-reducing-sparsity-improves-recognition-implicit/) — Junyi Jessy Li, Ani Nenkova · Proceedings of the 15th Annual Meeting of the…
- [Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/nejat-2017-exploring-joint-neural-model-sentence/) — Bita Nejat, Giuseppe Carenini, Raymond Ng · Proceedings of the 18th Annual SIGdial Meeting…
- [Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2017-explicit-discourse-connectives-translation-implicit/) — Wei Shi, Frances Yung, Raphael Rubino, et al. · Proceedings of the Eighth International Joint…
- [Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/) — Todor Mihaylov, Anette Frank · Proceedings of the CoNLL-16 shared task
- [Assessing Discourse Relations in Language Generation from GPT-2](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/) — Wei-Jen Ko, Junyi Jessy Li · Proceedings of the 13th International…
- [Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system](https://md.research.elamur.ai/free/en/papers/li-2014-cross-lingual-discourse-relation-analysis/) — Junyi Jessy Li, Marine Carpuat, Ani Nenkova · Proceedings of COLING 2014, the 25th…
- [Multilingual Annotation and Disambiguation of Discourse Connectives for Machine Translation](https://md.research.elamur.ai/free/en/papers/meyer-2011-multilingual-annotation-disambiguation-discourse-connectives/) — Thomas Meyer, Andrei Popescu-Belis, Sandrine Zufferey, et al. · Proceedings of the SIGDIAL 2011 Conference
- [Label distributions help implicit discourse relation classification](https://md.research.elamur.ai/free/en/papers/yung-2022-label-distributions-help-implicit-discourse/) — Frances Yung, Kaveri Anuranjana, Merel Scholman, et al. · Proceedings of the 3rd Workshop on…
- [Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/wu-2016-bilingually-constrained-synthetic-data-implicit/) — Changxing Wu, Xiaodong Shi, Yidong Chen, et al. · Proceedings of the 2016 Conference on Empirical…
- [Extending Implicit Discourse Relation Recognition to the PDTB-3](https://md.research.elamur.ai/free/en/papers/liang-2020-extending-implicit-discourse-relation-recognition/) — Li Liang, Zheng Zhao, Bonnie Webber · Proceedings of the First Workshop on…
- [TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/he-2020-transs-driven-joint-learning-architecture/) — Ruifang He, Jian Wang, Fengyu Guo, et al. · Proceedings of the 58th Annual Meeting of the…
- [The Repair of Speech Act Misunderstandings by Abductive Inference](https://md.research.elamur.ai/free/en/papers/mcroy-1995-repair-speech-act-misunderstandings-abductive/) — Susan W. McRoy, Graeme Hirst · Research library
- [Annotating the meaning of discourse connectives by looking at their translation: The translation-spotting technique](https://md.research.elamur.ai/free/en/papers/cartoni-2013-annotating-meaning-discourse-connectives-looking/) — Bruno Cartoni, Sandrine Zufferey, Thomas Meyer · Dialogue & Discourse Volume 4
- [Remarks on Plural Anaphora](https://md.research.elamur.ai/free/en/papers/eschenbach-1989-remarks-plural-anaphora/) — Carola Eschenbach, Christopher Habel, Michael Herweg, et al. · Fourth Conference of the European Chapter of…
- [Can we obtain significant success in RST discourse parsing by using Large Language Models?](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/) — Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al. · Proceedings of the 18th Conference of the…

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