--- title: "Discourse analysis — library papers" description: "Discourse analysis: 313 papers of the Elamur Research library on it, the most cited first — each with our summary, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/topics/discourse-analysis/library/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/discourse-analysis/library/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) / library # Discourse analysis — papers in the library 313 papers · [the topic and Mova's cards](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) **1** [2](https://md.research.elamur.ai/free/en/topics/discourse-analysis/library/page/2/) [3](https://md.research.elamur.ai/free/en/topics/discourse-analysis/library/page/3/) [4](https://md.research.elamur.ai/free/en/topics/discourse-analysis/library/page/4/) - [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/) — Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al. · arXiv:1804.05685 - [The LAMBADA dataset: Word prediction requiring a broad discourse context](https://md.research.elamur.ai/free/en/papers/paperno-2016-lambada-dataset-word-prediction-requiring/) — Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al. · Proceedings of the 54th Annual Meeting of the… - [Attention, Intentions, and the Structure of Discourse](https://md.research.elamur.ai/free/en/papers/grosz-1986-attention-intentions-structure-discourse/) — Barbara J. Grosz, Candace L. Sidner · Computational Linguistics - [ERNIE 2.0: A Continual Pre-training Framework for Language Understanding](https://md.research.elamur.ai/free/en/papers/sun-2019-ernie-2-0-continual/) — Yu Sun, Shuohuan Wang, Yukun Li, et al. · arXiv:1907.12412 - [Modeling Local Coherence: An Entity-Based Approach](https://md.research.elamur.ai/free/en/papers/barzilay-2008-modeling-local-coherence-entity-based/) — Regina Barzilay, Mirella Lapata · Computational Linguistics - [Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/) — Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov · Proceedings of the 2021 Conference of the North… - [Evaluating Discourse Phenomena in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bawden-2017-evaluating-discourse-phenomena-neural-machine/) — Rachel Bawden, Rico Sennrich, Alexandra Birch, et al. · arXiv:1711.00513 - [Identifying Argumentative Discourse Structures in Persuasive Essays](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/) — Christian Stab, Iryna Gurevych · Proceedings of the 2014 Conference on Empirical… - [Recognizing Implicit Discourse Relations in the Penn Discourse Treebank](https://md.research.elamur.ai/free/en/papers/lin-2009-recognizing-implicit-discourse-relations-penn/) — Ziheng Lin, Min-Yen Kan, Hwee Tou Ng · Proceedings of the 2009 Conference on Empirical… - [Lexical Cohesion Computed by Thesaural relations as an indicator of the structure of text](https://md.research.elamur.ai/free/en/papers/morris-1991-lexical-cohesion-computed-thesaural-relations/) — Jane Morris, Graeme Hirst · Computational Linguistics - [Hierarchical Transformers for Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/liu-2019-hierarchical-transformers-multi-document-summarization/) — Yang Liu, Mirella Lapata · Proceedings of the 57th Annual Meeting of the… - [Document-Level Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/) — Longyue Wang, Chenyang Lyu, Tianbo Ji, et al. · Proceedings of the 2023 Conference on Empirical… - [An Unsupervised Approach to Recognizing Discourse Relations](https://md.research.elamur.ai/free/en/papers/marcu-2002-unsupervised-approach-recognizing-discourse-relations/) — Daniel Marcu, Abdessamad Echihabi · Proceedings of the 40th Annual Meeting of the… - [Representation Learning for Text-level Discourse Parsing](https://md.research.elamur.ai/free/en/papers/ji-2014-representation-learning-text-level-discourse/) — Yangfeng Ji, Jacob Eisenstein · Proceedings of the 52nd Annual Meeting of the… - [Discourse-Aware Neural Extractive Text Summarization](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/) — Jiacheng Xu, Zhe Gan, Yu Cheng, et al. · arXiv:1910.14142 - [Argumentation Mining in User-Generated Web Discourse](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/) — Ivan Habernal, Iryna Gurevych · Computational Linguistics - [HILDA: A Discourse Parser Using Support Vector Machine Classification](https://md.research.elamur.ai/free/en/papers/hernault-2010-hilda-discourse-parser-support-vector/) — Hugo Hernault, Helmut Prendinger, David A. du Verle, et al. · Research library - [A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing](https://md.research.elamur.ai/free/en/papers/feng-2014-linear-time-bottom-up-discourse/) — Vanessa Wei Feng, Graeme Hirst · Proceedings of the 52nd Annual Meeting of the… - [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://md.research.elamur.ai/free/en/papers/joty-2015-codra-novel-discriminative-framework-rhetorical/) — Shafiq Joty, Giuseppe Carenini, Raymond T. Ng · Computational Linguistics - [Joint prediction in MST-style discourse parsing for argumentation mining](https://md.research.elamur.ai/free/en/papers/peldszus-2015-joint-prediction-mst-style-discourse/) — Andreas Peldszus, Manfred Stede · Proceedings of the 2015 Conference on Empirical… - [The CoNLL-2015 Shared Task on Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/) — Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al. · Proceedings of the Nineteenth Conference on… - [Graph-based Neural Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/) — Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al. · Proceedings of the 21st Conference on… - [Recurrent Convolutional Neural Networks for Discourse Compositionality](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2013-recurrent-convolutional-neural-networks-discourse/) — Nal Kalchbrenner, Phil Blunsom · arXiv:1306.3584 - [Representing Discourse Coherence: A Corpus-Based Study](https://md.research.elamur.ai/free/en/papers/wolf-2005-representing-discourse-coherence-corpus-based/) — Florian Wolf, Edward Gibson · Research library - [Automatically Evaluating Text Coherence Using Discourse Relations](https://md.research.elamur.ai/free/en/papers/lin-2011-automatically-evaluating-text-coherence-discourse/) — Ziheng Lin, Hwee Tou Ng, Min-Yen Kan · Proceedings of the 49th Annual Meeting of the… - [Easily Identifiable Discourse Relations](https://md.research.elamur.ai/free/en/papers/pitler-2008-easily-identifiable-discourse-relations/) — Emily Pitler, Mridhula Raghupathy, Hena Mehta, et al. · Coling 2008: Companion volume: Posters - [Anaphoric Annotation in the ARRAU Corpus](https://md.research.elamur.ai/free/en/papers/poesio-2008-anaphoric-annotation-arrau-corpus/) — Massimo Poesio, Ron Artstein · Proceedings of the Sixth International… - [Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/) — Chunkit Chan, Cheng Jiayang, Weiqi Wang, et al. · Findings of the Association for Computational… - [Better Document-level Sentiment Analysis from RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/) — Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein · Proceedings of the 2015 Conference on Empirical… - [A Two-Stage Parsing Method for Text-Level Discourse Analysis](https://md.research.elamur.ai/free/en/papers/wang-2017-two-stage-parsing-method-text/) — Yizhong Wang, Sujian Li, Houfeng Wang · Proceedings of the 55th Annual Meeting of the… - [Recursive Deep Models for Discourse Parsing](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/) — Jiwei Li, Rumeng Li, Eduard Hovy · Proceedings of the 2014 Conference on Empirical… - [Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints](https://md.research.elamur.ai/free/en/papers/durrett-2016-learning-based-single-document-summarization/) — Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein · Proceedings of the 54th Annual Meeting of the… - [One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/) — Yangfeng Ji, Jacob Eisenstein · Research library - [Text-level Discourse Parsing with Rich Linguistic Features](https://md.research.elamur.ai/free/en/papers/feng-2012-text-level-discourse-parsing-rich/) — Vanessa Wei Feng, Graeme Hirst · Proceedings of the 50th Annual Meeting of the… - [Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/) — Attapol Rutherford, Nianwen Xue · Proceedings of the 14th Conference of the… - [Supervised Models for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/rahman-2009-supervised-models-coreference-resolution/) — Altaf Rahman, Vincent Ng · Proceedings of the 2009 Conference on Empirical… - [The rhetorical parsing of unrestricted texts: a surface-based approach](https://md.research.elamur.ai/free/en/papers/marcu-2000-rhetorical-parsing-unrestricted-texts-surface/) — Daniel Marcu · Computational Linguistics - [Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/) — Lianhui Qin, Zhisong Zhang, Hai Zhao, et al. · Proceedings of the 55th Annual Meeting of the… - [Predicting Discourse Connectives for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2010-predicting-discourse-connectives-implicit-discourse/) — Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, et al. · Coling 2010: Posters - [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/) — Yuchen Jiang, Tianyu Liu, Shuming Ma, et al. · Proceedings of the 2022 Conference of the North… - [Improving Implicit Discourse Relation Recognition Through Feature Set Optimization](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/) — Joonsuk Park, Claire Cardie · Proceedings of the 13th Annual Meeting of the… - [Developing a large semantically annotated corpus](https://md.research.elamur.ai/free/en/papers/basile-2012-developing-large-semantically-annotated-corpus/) — Valerio Basile, Johan Bos, Kilian Evang, et al. · Proceedings of the Eighth International… - [Deep Enhanced Representation for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/bai-2018-deep-enhanced-representation-implicit-discourse/) — Hongxiao Bai, Hai Zhao · Proceedings of the 27th International… - [LEXCONN: A French Lexicon of Discourse Connectives](https://md.research.elamur.ai/free/en/papers/roze-2012-lexconn-french-lexicon-discourse-connectives/) — Charlotte Roze, Laurence Danlos, Philippe Muller · Discours 10 - [Specialized Models and Ranking for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/denis-2008-specialized-models-ranking-coreference-resolution/) — Pascal Denis, Jason Baldridge · Proceedings of the 2008 Conference on Empirical… - [Discourse Parsing with Attention-based Hierarchical Neural Networks](https://md.research.elamur.ai/free/en/papers/li-2016-discourse-parsing-attention-based-hierarchical/) — Qi Li, Tianshi Li, Baobao Chang · Proceedings of the 2016 Conference on Empirical… - [Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/) — Biao Zhang, Jinsong Su, Deyi Xiong, et al. · Proceedings of the 2015 Conference on Empirical… - [Evaluating Automated and Manual Acquisition of Anaphora Resolution Strategies](https://md.research.elamur.ai/free/en/papers/aone-1995-evaluating-automated-manual-acquisition-anaphora/) — Chinatsu Aone, Scott William Bennett · 33rd Annual Meeting of the Association for… - [CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/) — Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al. · Proceedings of the 27th International… - [Automated evaluation of written discourse coherence using GPT-4](https://md.research.elamur.ai/free/en/papers/naismith-2023-automated-evaluation-written-discourse-coherence/) — Ben Naismith, Phoebe Mulcaire, Jill Burstein · Proceedings of the 18th Workshop on Innovative… - [DisSent: Learning Sentence Representations from Explicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/nie-2019-dissent-learning-sentence-representations-explicit/) — Allen Nie, Erin Bennett, Noah Goodman · Proceedings of the 57th Annual Meeting of the… - [Mining Discourse Markers for Unsupervised Sentence Representation Learning](https://md.research.elamur.ai/free/en/papers/sileo-2019-mining-discourse-markers-unsupervised-sentence/) — Damien Sileo, Tim Van De Cruys, Camille Pradel, et al. · Proceedings of the 2019 Conference of the North… - [An effective Discourse Parser that uses Rich Linguistic Information](https://md.research.elamur.ai/free/en/papers/subba-2009-effective-discourse-parser-that-uses/) — Rajen Subba, Barbara Di Eugenio · Proceedings of Human Language Technologies: The… - [Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation](https://md.research.elamur.ai/free/en/papers/biran-2013-aggregated-word-pair-features-implicit/) — Or Biran, Kathleen McKeown · Proceedings of the 51st Annual Meeting of the… - [A Refined End-to-End Discourse Parser](https://md.research.elamur.ai/free/en/papers/wang-2015-refined-end-end-discourse-parser/) — Jianxiang Wang, Man Lan · Proceedings of the Nineteenth Conference on… - [Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention](https://md.research.elamur.ai/free/en/papers/liu-2016-recognizing-implicit-discourse-relations-repeated/) — Yang Liu, Sujian Li · Proceedings of the 2016 Conference on Empirical… - [QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/) — Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al. · Proceedings of the 2020 Conference on Empirical… - [Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/) — Wei Shi, Vera Demberg · Proceedings of the 2019 Conference on Empirical… - [Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/) — Attapol Rutherford, Nianwen Xue · Proceedings of the 2015 Conference of the North… - [Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/) — Man Lan, Jianxiang Wang, Yuanbin Wu, et al. · Proceedings of the 2017 Conference on Empirical… - [Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays](https://md.research.elamur.ai/free/en/papers/somasundaran-2014-lexical-chaining-measuring-discourse-coherence/) — Swapna Somasundaran, Jill Burstein, Martin Chodorow · Proceedings of COLING 2014, the 25th… - [Annotation of Discourse Relations for Conversational Spoken Dialogs](https://md.research.elamur.ai/free/en/papers/tonelli-2010-annotation-discourse-relations-conversational-spoken/) — Sara Tonelli, Giuseppe Riccardi, Rashmi Prasad, et al. · Proceedings of the Seventh International… - [Discourse parsing for multi-party chat dialogues](https://md.research.elamur.ai/free/en/papers/afantenos-2015-discourse-parsing-multi-party-chat/) — Stergos Afantenos, Eric Kow, Nicholas Asher, et al. · Proceedings of the 2015 Conference on Empirical… - [Dependency-based Discourse Parser for Single-Document Summarization](https://md.research.elamur.ai/free/en/papers/yoshida-2014-dependency-based-discourse-parser-single/) — Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, et al. · Proceedings of the 2014 Conference on Empirical… - [Constrained Decoding for Text-Level Discourse Parsing](https://md.research.elamur.ai/free/en/papers/muller-2012-constrained-decoding-text-level-discourse/) — Philippe Muller, Stergos Afantenos, Pascal Denis, et al. · Proceedings of COLING 2012 - [Neural Net Models of Open-domain Discourse Coherence](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/) — Jiwei Li, Dan Jurafsky · Proceedings of the 2017 Conference on Empirical… - [Realization of Discourse Relations by Other Means: Alternative Lexicalizations](https://md.research.elamur.ai/free/en/papers/prasad-2010-realization-discourse-relations-other-means/) — Rashmi Prasad, Aravind Joshi, Bonnie Webber · Coling 2010: Posters - [Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification](https://md.research.elamur.ai/free/en/papers/somasundaran-2009-supervised-unsupervised-methods-employing-discourse/) — Swapna Somasundaran, Galileo Namata, Janyce Wiebe, et al. · Proceedings of the 2009 Conference on Empirical… - [A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/qin-2016-stacking-gated-neural-architecture-implicit/) — Lianhui Qin, Zhisong Zhang, Hai Zhao · Proceedings of the 2016 Conference on Empirical… - [Annotating Discourse Connectives and Their Arguments](https://md.research.elamur.ai/free/en/papers/miltsakaki-2004-annotating-discourse-connectives-their-arguments/) — Eleni Miltsakaki, Aravind Joshi, Rashmi Prasad, et al. · Proceedings of the Workshop Frontiers in Corpus… - [Cross-lingual RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/braud-2017-cross-lingual-rst-discourse-parsing/) — Chloé Braud, Maximin Coavoux, Anders Søgaard · Proceedings of the 15th Conference of the… - [A Novel Discourse Parser Based on Support Vector Machine Classification](https://md.research.elamur.ai/free/en/papers/duverle-2009-novel-discourse-parser-based-support/) — David duVerle, Helmut Prendinger · Proceedings of the Joint Conference of the 47th… - [A Unified Linear-Time Framework for Sentence-Level Discourse Parsing](https://md.research.elamur.ai/free/en/papers/lin-2019-unified-linear-time-framework-sentence/) — Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, et al. · Proceedings of the 57th Annual Meeting of the… - [Discourse Coherence in the Wild: A Dataset, Evaluation and Methods](https://md.research.elamur.ai/free/en/papers/lai-2018-discourse-coherence-wild-dataset-evaluation/) — Alice Lai, Joel Tetreault · Proceedings of the 19th Annual SIGdial Meeting… - [Using Sense-labeled Discourse Connectives for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-labeled-discourse-connectives-statistical/) — Thomas Meyer, Andrei Popescu-Belis · Proceedings of the Joint Workshop on Exploiting… - [Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/) — Jifan Chen, Qi Zhang, Pengfei Liu, et al. · Proceedings of the 54th Annual Meeting of the… - [Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph](https://md.research.elamur.ai/free/en/papers/dai-2018-improving-implicit-discourse-relation-classification/) — Zeyu Dai, Ruihong Huang · Proceedings of the 2018 Conference of the North… - [The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://md.research.elamur.ai/free/en/papers/zeldes-2021-disrpt-2021-shared-task-elementary/) — Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, et al. · Proceedings of the 2nd Shared Task on Discourse… - [Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives](https://md.research.elamur.ai/free/en/papers/kishimoto-2020-adapting-bert-implicit-discourse-relation/) — Yudai Kishimoto, Yugo Murawaki, Sadao Kurohashi · Proceedings of the Twelfth Language Resources… - [Two Practical Rhetorical Structure Theory Parsers](https://md.research.elamur.ai/free/en/papers/surdeanu-2015-two-practical-rhetorical-structure-theory/) — Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega · Proceedings of the 2015 Conference of the North… - [A Discourse Resource for Turkish: Annotating Discourse Connectives in the METU Corpus](https://md.research.elamur.ai/free/en/papers/zeyrek-2008-discourse-resource-turkish-annotating-discourse/) — Deniz Zeyrek, Bonnie Webber · Proceedings of the 6th Workshop on Asian… - [The Hindi Discourse Relation Bank](https://md.research.elamur.ai/free/en/papers/oza-2009-hindi-discourse-relation-bank/) — Umangi Oza, Rashmi Prasad, Sudheer Kolachina, et al. · Proceedings of the Third Linguistic Annotation… - [Implicitness of Discourse Relations](https://md.research.elamur.ai/free/en/papers/asr-2012-implicitness-discourse-relations/) — Fatemeh Torabi Asr, Vera Demberg · Proceedings of COLING 2012 - [Machine Comprehension with Discourse Relations](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/) — Karthik Narasimhan, Regina Barzilay · Proceedings of the 53rd Annual Meeting of the… - [Improving Multi-Party Dialogue Discourse Parsing via Domain Integration](https://md.research.elamur.ai/free/en/papers/liu-2021-improving-multi-party-dialogue-discourse/) — Zhengyuan Liu, Nancy Chen · Proceedings of the 2nd Workshop on… - [Implicitation of Discourse Connectives in (Machine) Translation](https://md.research.elamur.ai/free/en/papers/meyer-2013-implicitation-discourse-connectives-machine-translation/) — Thomas Meyer, Bonnie Webber · Proceedings of the Workshop on Discourse in… - [DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/) — Wei Zhao, Michael Strube, Steffen Eger · Proceedings of the 17th Conference of the… - [DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/chan-2023-discoprompt-path-prediction-prompt-tuning/) — Chunkit Chan, Xin Liu, Jiayang Cheng, et al. · Findings of the Association for Computational… - [Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks](https://md.research.elamur.ai/free/en/papers/rehbein-2016-annotating-discourse-relations-spoken-language/) — Ines Rehbein, Merel Scholman, Vera Demberg · Proceedings of the Tenth International… - [A Unified Local and Global Model for Discourse Coherence](https://md.research.elamur.ai/free/en/papers/elsner-2007-unified-local-global-model-discourse/) — Micha Elsner, Joseph Austerweil, Eugene Charniak · Human Language Technologies 2007: The… - [A Systematic Study of Neural Discourse Models for Implicit Discourse Relation](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/) — Attapol Rutherford, Vera Demberg, Nianwen Xue · Proceedings of the 15th Conference of the… - [Annotation upon Annotation: Adding Signalling Information to a Corpus of Discourse Relations](https://md.research.elamur.ai/free/en/papers/taboada-2013-annotation-upon-annotation-adding-signalling/) — Maite Taboada, Debopam Das · Dialogue & Discourse Volume 4 - [Stance Detection on Social Media with Background Knowledge](https://md.research.elamur.ai/free/en/papers/li-2023-stance-detection-social-media-background/) — Ang Li, Bin Liang, Jingqian Zhao, et al. · Proceedings of the 2023 Conference on Empirical… - [Shallow Discourse Parsing with Conditional Random Fields](https://md.research.elamur.ai/free/en/papers/ghosh-2011-shallow-discourse-parsing-conditional-random/) — Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi, et al. · Proceedings of 5th International Joint… - [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… - 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