---
title: "Who cites Rhetorical Structure Theory: Toward a functional…"
description: "694 papers of the Elamur Research library cite «Rhetorical Structure Theory: Toward a functional theory of text organization», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/mann-1988-rhetorical-structure-theory-functional/cited-by/"
---
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# Who cites «Rhetorical Structure Theory: Toward a functional theory of text organization»

694 papers of our library cite it (of the 140,884 whose bibliographies we read) · 139 with a page here, the most cited first · page 1 of 2 · 1–100 · [← the paper](https://md.research.elamur.ai/free/en/papers/mann-1988-rhetorical-structure-theory-functional/)

**1** [2](https://md.research.elamur.ai/free/en/papers/mann-1988-rhetorical-structure-theory-functional/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/mann-1988-rhetorical-structure-theory-functional/cited-by/page/2/)

1. [**Lexicon-Based Methods for Sentiment Analysis**Maite Taboada, Julian Brooke, Milan Tofiloski, et al.*2011 · 3,556 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2011-lexicon-based-methods-sentiment-analysis/)
2. [**The Penn Discourse TreeBank 2.0.**Rashmi Prasad, Nikhil Dinesh, Alan Lee, et al.*2008 · 1,793 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2008-penn-discourse-treebank-2-0/)
3. [**Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems**Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.*2015 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-semantically-conditioned-lstm-based-natural/)
4. [**Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory**Lynn Carlson, Daniel Marcu, Mary Ellen Okurovsky*2001 · 912 citations*](https://md.research.elamur.ai/free/en/papers/carlson-2001-building-discourse-tagged-corpus-framework/)
5. [**Sentence Level Discourse Parsing using Syntactic and Lexical Information**Radu Soricut, Daniel Marcu*2003 · 560 citations*](https://md.research.elamur.ai/free/en/papers/soricut-2003-sentence-level-discourse-parsing-syntactic/)
6. [**An Unsupervised Approach to Recognizing Discourse Relations**Daniel Marcu, Abdessamad Echihabi*2002 · 513 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-unsupervised-approach-recognizing-discourse-relations/)
7. [**Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*2021 · 417 citations*](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)
8. [**Recognizing Implicit Discourse Relations in the Penn Discourse Treebank**Ziheng Lin, Min-Yen Kan, Hwee Tou Ng*2009 · 412 citations*](https://md.research.elamur.ai/free/en/papers/lin-2009-recognizing-implicit-discourse-relations-penn/)
9. [**Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization**Regina Barzilay, Lillian Lee*2004 · 411 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2004-catching-drift-probabilistic-content-models/)
10. [**Discourse-Aware Neural Extractive Text Summarization**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 382 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/)
11. [**Representing Discourse Coherence: A Corpus-Based Study**Florian Wolf, Edward Gibson*2005 · 377 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2005-representing-discourse-coherence-corpus-based/)
12. [**HILDA: A Discourse Parser Using Support Vector Machine Classification**Hugo Hernault, Helmut Prendinger, David A. du Verle, et al.*2010 · 353 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-hilda-discourse-parser-support-vector/)
13. [**Graph-based Neural Multi-Document Summarization**Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.*2017 · 346 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/)
14. [**Anaphora and Discourse Structure**Bonnie Webber, Matthew Stone, Aravind Joshi, et al.*2003 · 315 citations*](https://md.research.elamur.ai/free/en/papers/webber-2003-anaphora-discourse-structure/)
15. [**The rhetorical parsing of unrestricted texts: a surface-based approach**Daniel Marcu*2000 · 281 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2000-rhetorical-parsing-unrestricted-texts-surface/)
16. [**Ranking Sentences for Extractive Summarization with Reinforcement Learning**Shashi Narayan, Shay B. Cohen, Mirella Lapata*2018 · 279 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2018-ranking-sentences-extractive-summarization-reinforcement/)
17. [**Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised**Stefanos Angelidis, Mirella Lapata*2018 · 265 citations*](https://md.research.elamur.ai/free/en/papers/angelidis-2018-summarizing-opinions-aspect-extraction-meets/)
18. [**CODRA: A Novel Discriminative Framework for Rhetorical Analysis**Shafiq Joty, Giuseppe Carenini, Raymond T. Ng*2015 · 263 citations*](https://md.research.elamur.ai/free/en/papers/joty-2015-codra-novel-discriminative-framework-rhetorical/)
19. [**From Light to Rich ERE: Annotation of Entities, Relations, and Events**Zhiyi Song, Ann Bies, Stephanie Strassel, et al.*2015 · 263 citations*](https://md.research.elamur.ai/free/en/papers/song-2015-light-rich-ere-annotation-entities/)
20. [**Abstractive Summarization of Product Reviews Using Discourse Structure**Shima Gerani, Yashar Mehdad, Giuseppe Carenini, et al.*2014 · 260 citations*](https://md.research.elamur.ai/free/en/papers/gerani-2014-abstractive-summarization-product-reviews-discourse/)
21. [**A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing**Vanessa Wei Feng, Graeme Hirst*2014 · 250 citations*](https://md.research.elamur.ai/free/en/papers/feng-2014-linear-time-bottom-up-discourse/)
22. [**Automatically Evaluating Text Coherence Using Discourse Relations**Ziheng Lin, Hwee Tou Ng, Min-Yen Kan*2011 · 218 citations*](https://md.research.elamur.ai/free/en/papers/lin-2011-automatically-evaluating-text-coherence-discourse/)
23. [**Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis**Shafiq Joty, Giuseppe Carenini, Raymond Ng, et al.*2013 · 217 citations*](https://md.research.elamur.ai/free/en/papers/joty-2013-combining-intra-multi-sentential-rhetorical/)
24. [**The CoNLL-2015 Shared Task on Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2015 · 210 citations*](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/)
25. [**Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints**Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein*2016 · 209 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2016-learning-based-single-document-summarization/)
26. [**Text-level Discourse Parsing with Rich Linguistic Features**Vanessa Wei Feng, Graeme Hirst*2012 · 208 citations*](https://md.research.elamur.ai/free/en/papers/feng-2012-text-level-discourse-parsing-rich/)
27. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
28. [**Easily Identifiable Discourse Relations**Emily Pitler, Mridhula Raghupathy, Hena Mehta, et al.*2008 · 206 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2008-easily-identifiable-discourse-relations/)
29. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
30. [**Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns**Attapol Rutherford, Nianwen Xue*2014 · 191 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/)
31. [**CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2016 · 187 citations*](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)
32. [**Planning with Learned Entity Prompts for Abstractive Summarization**Shashi Narayan, Yao Zhao, Joshua Maynez, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/)
33. [**Neural Discourse Structure for Text Categorization**Yangfeng Ji, Noah A. Smith*2017 · 180 citations*](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/)
34. [**An effective Discourse Parser that uses Rich Linguistic Information**Rajen Subba, Barbara Di Eugenio*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/subba-2009-effective-discourse-parser-that-uses/)
35. [**Implicit Discourse Relation Classification via Multi-Task Neural Networks**Yang Liu, Sujian Li, Xiaodong Zhang, et al.*2016 · 162 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/)
36. [**Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation**Rashmi Prasad, Bonnie Webber, Aravind Joshi*2014 · 156 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2014-reflections-penn-discourse-treebank-comparable/)
37. [**Discourse Parsing with Attention-based Hierarchical Neural Networks**Qi Li, Tianshi Li, Baobao Chang*2016 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-discourse-parsing-attention-based-hierarchical/)
38. [**Neural Net Models of Open-domain Discourse Coherence**Jiwei Li, Dan Jurafsky*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/)
39. [**Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives**Attapol Rutherford, Nianwen Xue*2015 · 142 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/)
40. [**RSTTool 2.4 - A markup Tool for Rhetorical Structure Theory**Michael O'Donnell*2000 · 142 citations*](https://md.research.elamur.ai/free/en/papers/donnell-2000-rsttool-2-4-markup-tool/)
41. [**A Novel Discourse Parser Based on Support Vector Machine Classification**David duVerle, Helmut Prendinger*2009 · 135 citations*](https://md.research.elamur.ai/free/en/papers/duverle-2009-novel-discourse-parser-based-support/)
42. [**DisSent: Learning Sentence Representations from Explicit Discourse Relations**Allen Nie, Erin Bennett, Noah Goodman*2019 · 134 citations*](https://md.research.elamur.ai/free/en/papers/nie-2019-dissent-learning-sentence-representations-explicit/)
43. [**Annotating Discourse Connectives and Their Arguments**Eleni Miltsakaki, Aravind Joshi, Rashmi Prasad, et al.*2004 · 122 citations*](https://md.research.elamur.ai/free/en/papers/miltsakaki-2004-annotating-discourse-connectives-their-arguments/)
44. [**Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays**Swapna Somasundaran, Jill Burstein, Martin Chodorow*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/somasundaran-2014-lexical-chaining-measuring-discourse-coherence/)
45. [**Two Practical Rhetorical Structure Theory Parsers**Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega*2015 · 113 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2015-two-practical-rhetorical-structure-theory/)
46. [**Dependency-based Discourse Parser for Single-Document Summarization**Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, et al.*2014 · 113 citations*](https://md.research.elamur.ai/free/en/papers/yoshida-2014-dependency-based-discourse-parser-single/)
47. [**Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities**Lanjun Zhou, Binyang Li, Wei Gao, et al.*2011 · 110 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2011-unsupervised-discovery-discourse-relations-eliminating/)
48. [**A Unified Linear-Time Framework for Sentence-Level Discourse Parsing**Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, et al.*2019 · 94 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-unified-linear-time-framework-sentence/)
49. [**Machine Comprehension with Discourse Relations**Karthik Narasimhan, Regina Barzilay*2015 · 91 citations*](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/)
50. [**SciDTB: Discourse Dependency TreeBank for Scientific Abstracts**An Yang, Sujian Li*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/)
51. [**Annotation upon Annotation: Adding Signalling Information to a Corpus of Discourse Relations**Maite Taboada, Debopam Das*2013 · 81 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2013-annotation-upon-annotation-adding-signalling/)
52. [**Shallow Discourse Parsing with Conditional Random Fields**Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi, et al.*2011 · 79 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2011-shallow-discourse-parsing-conditional-random/)
53. [**A Systematic Study of Neural Discourse Models for Implicit Discourse Relation**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/)
54. [**QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines**Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al.*2020 · 77 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/)
55. [**rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations**Amir Zeldes*2016 · 69 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2016-rstweb-browser-based-annotation-interface/)
56. [**Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition**Man Lan, Yu Xu, Zhengyu Niu*2013 · 68 citations*](https://md.research.elamur.ai/free/en/papers/lan-2013-leveraging-synthetic-discourse-data-multi/)
57. [**Multi-view and multi-task training of RST discourse parsers**Chloé Braud, Barbara Plank, Anders Søgaard*2016 · 67 citations*](https://md.research.elamur.ai/free/en/papers/braud-2016-multi-view-multi-task-training/)
58. [**Constructing a Lexicon of English Discourse Connectives**Debopam Das, Tatjana Scheffler, Peter Bourgonje, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/das-2018-constructing-lexicon-english-discourse-connectives/)
59. [**A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure**Longyin Zhang, Yuqing Xing, Fang Kong, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-top-down-neural-architecture-text/)
60. [**Predicting the Presence of Discourse Connectives**Gary Patterson, Andrew Kehler*2013 · 61 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2013-predicting-presence-discourse-connectives/)
61. [**Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure**Kelsey Allen, Giuseppe Carenini, Raymond Ng*2014 · 60 citations*](https://md.research.elamur.ai/free/en/papers/allen-2014-detecting-disagreement-conversations-pseudo-monologic/)
62. [**Generating Anaphoric Expressions: Pronoun or Definite Description?**Kathleen E. McCoy, Michael Strube*1999 · 60 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-1999-generating-anaphoric-expressions-pronoun-or/)
63. [**DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/)
64. [**Discourse Markers in Speech: Distinctive Features and Corpus Annotation**Ludivine Crible, Maria-Josep Cuenca*2017 · 53 citations*](https://md.research.elamur.ai/free/en/papers/crible-2017-discourse-markers-speech-distinctive-features/)
65. [**Introducing the Prague Discourse Treebank 1.0**Lucie Poláková, Jiří Mírovský, Anna Nedoluzhko, et al.*2013 · 52 citations*](https://md.research.elamur.ai/free/en/papers/polakova-2013-introducing-prague-discourse-treebank-1/)
66. [**A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension**Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka*2010 · 52 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-semi-supervised-approach-improve-classification/)
67. [**Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey**Varada Kolhatkar, Adam Roussel, Stefanie Dipper, et al.*2018 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/)
68. [**Detecting Subevents using Discourse and Narrative Features**Mohammed Aldawsari, Mark Finlayson*2019 · 50 citations*](https://md.research.elamur.ai/free/en/papers/aldawsari-2019-detecting-subevents-discourse-narrative-features/)
69. [**Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges**Bolei Ma, Yuting Li, Wei Zhou, et al.*2025 · 49 citations*](https://md.research.elamur.ai/free/en/papers/ma-2025-pragmatics-era-large-language-models/)
70. [**The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification**Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, et al.*2021 · 49 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2021-disrpt-2021-shared-task-elementary/)
71. [**Cross-lingual RST Discourse Parsing**Chloé Braud, Maximin Coavoux, Anders Søgaard*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/braud-2017-cross-lingual-rst-discourse-parsing/)
72. [**Adversarial Learning for Discourse Rhetorical Structure Parsing**Longyin Zhang, Fang Kong, Guodong Zhou*2021 · 45 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/)
73. [**Learning Contextually Informed Representations for Linear-Time Discourse Parsing**Yang Liu, Mirella Lapata*2017 · 44 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-learning-contextually-informed-representations-linear/)
74. [**A Hybrid Reasoning Model for Indirect Answers**Nancy Green, Sandra Carberry*1994 · 44 citations*](https://md.research.elamur.ai/free/en/papers/green-1994-hybrid-reasoning-model-indirect-answers/)
75. [**Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank**Kai Zhao, Liang Huang*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-syntacto-discourse-parsing-syntacto/)
76. [**Discriminative Reranking of Discourse Parses Using Tree Kernels**Shafiq Joty, Alessandro Moschitti*2014 · 42 citations*](https://md.research.elamur.ai/free/en/papers/joty-2014-discriminative-reranking-discourse-parses-tree/)
77. [**Functional Centering – Grounding Referential Coherence on Information Structure**Michael Strube, Udo Hahn*1999 · 42 citations*](https://md.research.elamur.ai/free/en/papers/strube-1999-functional-centering-grounding-referential-coherence/)
78. [**Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph**Yin Jou Huang, Sadao Kurohashi*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/)
79. [**Discourse Coherence: Concurrent Explicit and Implicit Relations**Hannah Rohde, Alexander Johnson, Nathan Schneider, et al.*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/rohde-2018-discourse-coherence-concurrent-explicit-implicit/)
80. [**Discourse Structure in Machine Translation Evaluation**Shafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/joty-2017-discourse-structure-machine-translation-evaluation/)
81. [**Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis**Bita Nejat, Giuseppe Carenini, Raymond Ng*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/nejat-2017-exploring-joint-neural-model-sentence/)
82. [**Interpreting and Generating Indirect Answers**Nancy Green, Sandra Carberry*1999 · 39 citations*](https://md.research.elamur.ai/free/en/papers/green-1999-interpreting-generating-indirect-answers/)
83. [**The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification**Chloé Braud, Yang Janet Liu, Eleni Metheniti, et al.*2023 · 37 citations*](https://md.research.elamur.ai/free/en/papers/braud-2023-disrpt-2023-shared-task-elementary/)
84. [**Top-down Discourse Parsing via Sequence Labelling**Fajri Koto, Jey Han Lau, Timothy Baldwin*2021 · 37 citations*](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/)
85. [**Multilingual Neural RST Discourse Parsing**Zhengyuan Liu, Ke Shi, Nancy Chen*2020 · 37 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-multilingual-neural-rst-discourse-parsing/)
86. [**MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision**Patrick Huber, Giuseppe Carenini*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/)
87. [**Neural Generative Rhetorical Structure Parsing**Amandla Mabona, Laura Rimell, Stephen Clark, et al.*2019 · 35 citations*](https://md.research.elamur.ai/free/en/papers/mabona-2019-neural-generative-rhetorical-structure-parsing/)
88. [**Structured Dialogue Discourse Parsing**Ta-Chung Chi, Alexander Rudnicky*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/chi-2022-structured-dialogue-discourse-parsing/)
89. [**The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic**Amal Al-Saif, Katja Markert*2010 · 32 citations*](https://md.research.elamur.ai/free/en/papers/saif-2010-leeds-arabic-discourse-treebank-annotating/)
90. [**eRST: A Signaled Graph Theory of Discourse Relations and Organization**Amir Zeldes, Tatsuya Aoyama, Yang Janet Liu, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2025-erst-signaled-graph-theory-discourse/)
91. [**Coreference for Discourse Parsing: A Neural Approach**Grigorii Guz, Giuseppe Carenini*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-coreference-discourse-parsing-neural-approach/)
92. [**Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations**Merel C.J. Scholman, Vera Demberg*2017 · 31 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2017-examples-specifications-that-prove-point/)
93. [**Factors Influencing the Implicitation of Discourse Relations across Languages**Jet Hoek, Sandrine Zufferey*2015 · 30 citations*](https://md.research.elamur.ai/free/en/papers/hoek-2015-factors-influencing-implicitation-discourse-relations/)
94. [**Lexical marking of discourse relations - some experimental findings**Claudia Soria, Giacomo Ferrari*1998 · 30 citations*](https://md.research.elamur.ai/free/en/papers/soria-1998-lexical-marking-discourse-relations-some/)
95. [**Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system**Junyi Jessy Li, Marine Carpuat, Ani Nenkova*2014 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-cross-lingual-discourse-relation-analysis/)
96. [**A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations**Samuel Rönnqvist, Niko Schenk, Christian Chiarcos*2017 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ronnqvist-2017-recurrent-neural-model-attention-recognition/)
97. [**GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation**Tatsuya Aoyama, Shabnam Behzad, Luke Gessler, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/aoyama-2023-gentle-genre-diverse-multilayer-challenge/)
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