---
title: "Who cites The Penn Discourse TreeBank 2.0."
description: "687 papers of the Elamur Research library cite «The Penn Discourse TreeBank 2.0.», found in their bibliographies · page 1 of 3 · 1–100; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/prasad-2008-penn-discourse-treebank-2-0/cited-by/"
---
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# Who cites «The Penn Discourse TreeBank 2.0.»

687 papers of our library cite it (of the 140,884 whose bibliographies we read) · 218 with a page here, the most cited first · page 1 of 3 · 1–100 · [← the paper](https://md.research.elamur.ai/free/en/papers/prasad-2008-penn-discourse-treebank-2-0/)

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1. [**Parsing Argumentation Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2017 · 613 citations*](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/)
2. [**Identifying Argumentative Discourse Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 517 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/)
3. [**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/)
4. [**Using Syntax to Disambiguate Explicit Discourse Connectives in Text**Emily Pitler, Ani Nenkova*2009 · 407 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2009-syntax-disambiguate-explicit-discourse-connectives/)
5. [**Representation Learning for Text-level Discourse Parsing**Yangfeng Ji, Jacob Eisenstein*2014 · 344 citations*](https://md.research.elamur.ai/free/en/papers/ji-2014-representation-learning-text-level-discourse/)
6. [**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/)
7. [**Revisiting Readability: A Unified Framework for Predicting Text Quality**Emily Pitler, Ani Nenkova*2008 · 253 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2008-revisiting-readability-unified-framework-predicting/)
8. [**Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT**Zhiyong Wu, Yun Chen, Ben Kao, et al.*2020 · 244 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-perturbed-masking-parameter-free-probing/)
9. [**Argumentation Mining in User-Generated Web Discourse**Ivan Habernal, Iryna Gurevych*2017 · 243 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/)
10. [**Richer Event Description: Integrating event coreference with temporal, causal and bridging annotation**Tim O'Gorman, Kristin Wright-Bettner, Martha Palmer*2016 · 223 citations*](https://md.research.elamur.ai/free/en/papers/gorman-2016-richer-event-description-integrating-event/)
11. [**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/)
12. [**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/)
13. [**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/)
14. [**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/)
15. [**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/)
16. [**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/)
17. [**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/)
18. [**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/)
19. [**ISO 24617-2: A semantically-based standard for dialogue annotation**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/)
20. [**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/)
21. [**Improving Implicit Discourse Relation Recognition Through Feature Set Optimization**Joonsuk Park, Claire Cardie*2012 · 165 citations*](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/)
22. [**Predicting Discourse Connectives for Implicit Discourse Relation Recognition**Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, et al.*2010 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2010-predicting-discourse-connectives-implicit-discourse/)
23. [**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/)
24. [**Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition**Biao Zhang, Jinsong Su, Deyi Xiong, et al.*2015 · 161 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/)
25. [**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/)
26. [**Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/)
27. [**Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification**Man Lan, Jianxiang Wang, Yuanbin Wu, et al.*2017 · 142 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/)
28. [**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/)
29. [**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/)
30. [**Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains**Wei Shi, Vera Demberg*2019 · 133 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/)
31. [**Deep Enhanced Representation for Implicit Discourse Relation Recognition**Hongxiao Bai, Hai Zhao*2018 · 131 citations*](https://md.research.elamur.ai/free/en/papers/bai-2018-deep-enhanced-representation-implicit-discourse/)
32. [**Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention**Yang Liu, Sujian Li*2016 · 128 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-recognizing-implicit-discourse-relations-repeated/)
33. [**Annotation of Discourse Relations for Conversational Spoken Dialogs**Sara Tonelli, Giuseppe Riccardi, Rashmi Prasad, et al.*2010 · 122 citations*](https://md.research.elamur.ai/free/en/papers/tonelli-2010-annotation-discourse-relations-conversational-spoken/)
34. [**Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation**Or Biran, Kathleen McKeown*2013 · 121 citations*](https://md.research.elamur.ai/free/en/papers/biran-2013-aggregated-word-pair-features-implicit/)
35. [**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/)
36. [**Realization of Discourse Relations by Other Means: Alternative Lexicalizations**Rashmi Prasad, Aravind Joshi, Bonnie Webber*2010 · 120 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2010-realization-discourse-relations-other-means/)
37. [**Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/)
38. [**Neural Models of Factuality**Rachel Rudinger, Aaron Steven White, Benjamin Van Durme*2018 · 111 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/)
39. [**Increasing Informativeness in Temporal Annotation**James Pustejovsky, Amber Stubbs*2011 · 107 citations*](https://md.research.elamur.ai/free/en/papers/pustejovsky-2011-increasing-informativeness-temporal-annotation/)
40. [**Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech**Nianwen Xue, Ondřej Bojar, Jan Hajič, et al.*2014 · 106 citations*](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/)
41. [**Implicitness of Discourse Relations**Fatemeh Torabi Asr, Vera Demberg*2012 · 100 citations*](https://md.research.elamur.ai/free/en/papers/asr-2012-implicitness-discourse-relations/)
42. [**Constrained Decoding for Text-Level Discourse Parsing**Philippe Muller, Stergos Afantenos, Pascal Denis, et al.*2012 · 99 citations*](https://md.research.elamur.ai/free/en/papers/muller-2012-constrained-decoding-text-level-discourse/)
43. [**A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 98 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-stacking-gated-neural-architecture-implicit/)
44. [**Discourse parsing for multi-party chat dialogues**Stergos Afantenos, Eric Kow, Nicholas Asher, et al.*2015 · 97 citations*](https://md.research.elamur.ai/free/en/papers/afantenos-2015-discourse-parsing-multi-party-chat/)
45. [**Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph**Zeyu Dai, Ruihong Huang*2018 · 95 citations*](https://md.research.elamur.ai/free/en/papers/dai-2018-improving-implicit-discourse-relation-classification/)
46. [**Using Sense-labeled Discourse Connectives for Statistical Machine Translation**Thomas Meyer, Andrei Popescu-Belis*2012 · 93 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-labeled-discourse-connectives-statistical/)
47. [**Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations**Chunkit Chan, Cheng Jiayang, Weiqi Wang, et al.*2024 · 92 citations*](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/)
48. [**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/)
49. [**The Hindi Discourse Relation Bank**Umangi Oza, Rashmi Prasad, Sudheer Kolachina, et al.*2009 · 88 citations*](https://md.research.elamur.ai/free/en/papers/oza-2009-hindi-discourse-relation-bank/)
50. [**NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation**Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/)
51. [**Mining Discourse Markers for Unsupervised Sentence Representation Learning**Damien Sileo, Tim Van De Cruys, Camille Pradel, et al.*2019 · 83 citations*](https://md.research.elamur.ai/free/en/papers/sileo-2019-mining-discourse-markers-unsupervised-sentence/)
52. [**Comparing Word Representations for Implicit Discourse Relation Classification**Chloé Braud, Pascal Denis*2015 · 83 citations*](https://md.research.elamur.ai/free/en/papers/braud-2015-comparing-word-representations-implicit-discourse/)
53. [**A Refined End-to-End Discourse Parser**Jianxiang Wang, Man Lan*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-refined-end-end-discourse-parser/)
54. [**Implicitation of Discourse Connectives in (Machine) Translation**Thomas Meyer, Bonnie Webber*2013 · 80 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2013-implicitation-discourse-connectives-machine-translation/)
55. [**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/)
56. [**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/)
57. [**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/)
58. [**Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT**Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.*2012 · 77 citations*](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/)
59. [**A Dependency Perspective on RST Discourse Parsing and Evaluation**Mathieu Morey, Philippe Muller, Nicholas Asher*2018 · 76 citations*](https://md.research.elamur.ai/free/en/papers/morey-2018-dependency-perspective-rst-discourse-parsing/)
60. [**ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT**Liane Guillou, Christian Hardmeier, Aaron Smith, et al.*2014 · 76 citations*](https://md.research.elamur.ai/free/en/papers/guillou-2014-parcor-1-0-parallel-pronoun/)
61. [**Using entity features to classify implicit discourse relations**Annie Louis, Aravind Joshi, Rashmi Prasad, et al.*2010 · 73 citations*](https://md.research.elamur.ai/free/en/papers/louis-2010-entity-features-classify-implicit-discourse/)
62. [**Integer Linear Programming for Discourse Parsing**Jérémy Perret, Stergos Afantenos, Nicholas Asher, et al.*2016 · 71 citations*](https://md.research.elamur.ai/free/en/papers/perret-2016-integer-linear-programming-discourse-parsing/)
63. [**Implicit Discourse Relation Classification: We Need to Talk about Evaluation**Najoung Kim, Song Feng, Chulaka Gunasekara, et al.*2020 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)
64. [**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/)
65. [**Annotating the meaning of discourse connectives by looking at their translation: The translation-spotting technique**Bruno Cartoni, Sandrine Zufferey, Thomas Meyer*2013 · 69 citations*](https://md.research.elamur.ai/free/en/papers/cartoni-2013-annotating-meaning-discourse-connectives-looking/)
66. [**Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives**Yudai Kishimoto, Yugo Murawaki, Sadao Kurohashi*2020 · 68 citations*](https://md.research.elamur.ai/free/en/papers/kishimoto-2020-adapting-bert-implicit-discourse-relation/)
67. [**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/)
68. [**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/)
69. [**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/)
70. [**Unrestricted Bridging Resolution**Yufang Hou, Katja Markert, Michael Strube*2018 · 65 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-unrestricted-bridging-resolution/)
71. [**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/)
72. [**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/)
73. [**Improving Multi-Party Dialogue Discourse Parsing via Domain Integration**Zhengyuan Liu, Nancy Chen*2021 · 60 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-improving-multi-party-dialogue-discourse/)
74. [**Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks**Ines Rehbein, Merel Scholman, Vera Demberg*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/rehbein-2016-annotating-discourse-relations-spoken-language/)
75. [**Kernel Based Discourse Relation Recognition with Temporal Ordering Information**WenTing Wang, Jian Su, Chew Lim Tan*2010 · 58 citations*](https://md.research.elamur.ai/free/en/papers/wang-2010-kernel-based-discourse-relation-recognition/)
76. [**Learning Connective-based Word Representations for Implicit Discourse Relation Identification**Chloé Braud, Pascal Denis*2016 · 56 citations*](https://md.research.elamur.ai/free/en/papers/braud-2016-learning-connective-based-word-representations/)
77. [**Machine Translation of Labeled Discourse Connectives**Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, et al.*2012 · 55 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-machine-translation-labeled-discourse-connectives/)
78. [**Exploiting Scope for Shallow Discourse Parsing**Rashmi Prasad, Aravind Joshi, Bonnie Webber*2010 · 54 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2010-exploiting-scope-shallow-discourse-parsing/)
79. [**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/)
80. [**Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings**Linh The Nguyen, Linh Van Ngo, Khoat Than, et al.*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2019-employing-correspondence-relations-connectives-identify/)
81. [**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/)
82. [**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/)
83. [**Discourse Annotation in the PDTB: The Next Generation**Rashmi Prasad, Bonnie Webber, Alan Lee*2018 · 50 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2018-discourse-annotation-pdtb-next-generation/)
84. [**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/)
85. [**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/)
86. [**Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning**Fengyu Guo, Ruifang He, Di Jin, et al.*2018 · 49 citations*](https://md.research.elamur.ai/free/en/papers/guo-2018-implicit-discourse-relation-recognition-neural/)
87. [**Shallow Discourse Parsing Using Convolutional Neural Network**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 47 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-shallow-discourse-parsing-convolutional-neural/)
88. [**Implicit Discourse Relation Recognition by Selecting Typical Training Examples**Xun Wang, Sujian Li, Jiwei Li, et al.*2012 · 47 citations*](https://md.research.elamur.ai/free/en/papers/wang-2012-implicit-discourse-relation-recognition-selecting/)
89. [**Chinese Discourse Relation Recognition**Hen-Hsen Huang, Hsin-Hsi Chen*2011 · 47 citations*](https://md.research.elamur.ai/free/en/papers/huang-2011-chinese-discourse-relation-recognition/)
90. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/)
91. [**Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 46 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-implicit-discourse-relation-recognition-context/)
92. [**Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations**Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein*2015 · 46 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/)
93. [**DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition**Chunkit Chan, Xin Liu, Jiayang Cheng, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-discoprompt-path-prediction-prompt-tuning/)
94. [**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/)
95. [**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/)
96. [**Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations**Wanqiu Long, Bonnie Webber*2022 · 43 citations*](https://md.research.elamur.ai/free/en/papers/long-2022-facilitating-contrastive-learning-discourse-relational/)
97. [**Pragmatic competence of pre-trained language models through the lens of discourse connectives**Lalchand Pandia, Yan Cong, Allyson Ettinger*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/pandia-2021-pragmatic-competence-pre-trained-language/)
98. [**Using active learning to expand training data for implicit discourse relation recognition**Yang Xu, Yu Hong, Huibin Ruan, et al.*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-active-learning-expand-training-data/)
99. [**A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing**Fang Kong, Hwee Tou Ng, Guodong Zhou*2014 · 42 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-constituent-based-approach-argument-labeling/)
100. [**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/)

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