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title: "Dialogue systems — papers, page 2"
description: "Dialogue systems: 255 papers of the Elamur Research library · page 2 of 4 · 26–125, the most cited first."
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# 🗨️ Dialogue systems

255 papers · page 2 of 4 · 26–125 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Talking with machines: chatbots, task assistants, and the structure of conversation.

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26. [**The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems**Ryan Lowe, Nissan Pow, Iulian Serban, et al.*2015 · 474 citations*](https://md.research.elamur.ai/free/en/papers/lowe-2015-ubuntu-dialogue-corpus-large-dataset/)
27. [**The ICSI Meeting Recorder Dialog Act (MRDA) Corpus**Elizabeth Shriberg, Raj Dhillon, Sonali Bhagat, et al.*2004 · 470 citations*](https://md.research.elamur.ai/free/en/papers/shriberg-2004-icsi-meeting-recorder-dialog-act/)
28. [**Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System**Jost Schatzmann, Blaise Thomson, Karl Weilhammer, et al.*2007 · 452 citations*](https://md.research.elamur.ai/free/en/papers/schatzmann-2007-agenda-based-user-simulation-bootstrapping/)
29. [**OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs**Seungwhan Moon, Pararth Shah, Anuj Kumar, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/moon-2019-opendialkg-explainable-conversational-reasoning-attention/)
30. [**Word-Based Dialog State Tracking with Recurrent Neural Networks**Matthew Henderson, Blaise Thomson, Steve Young*2014 · 431 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2014-word-based-dialog-state-tracking/)
31. [**Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 426 citations*](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/)
32. [**Deal or No Deal? End-to-End Learning of Negotiation Dialogues**Mike Lewis, Denis Yarats, Yann Dauphin, et al.*2017 · 418 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2017-deal-or-no-deal-end/)
33. [**Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network**Xiangyang Zhou, Lu Li, Daxiang Dong, et al.*2018 · 408 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/)
34. [**Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems**Andrea Madotto, Chien-Sheng Wu, Pascale Fung*2018 · 401 citations*](https://md.research.elamur.ai/free/en/papers/madotto-2018-mem2seq-effectively-incorporating-knowledge-bases/)
35. [**Towards Emotional Support Dialog Systems**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 391 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/)
36. [**Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog**Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.*2019 · 390 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-transfer-learning-multilingual/)
37. [**Dialogue Natural Language Inference**Sean Welleck, Jason Weston, Arthur Szlam, et al.*2019 · 382 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2019-dialogue-natural-language-inference/)
38. [**Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good**Xuewei Wang, Weiyan Shi, Richard Kim, et al.*2019 · 366 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-persuasion-good-personalized-persuasive-dialogue/)
39. [**TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.*2020 · 360 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/)
40. [**Internet-Augmented Dialogue Generation**Mojtaba Komeili, Kurt Shuster, Jason Weston*2022 · 349 citations*](https://md.research.elamur.ai/free/en/papers/komeili-2022-internet-augmented-dialogue-generation/)
41. [**Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access**Bhuwan Dhingra, Lihong Li, Xiujun Li, et al.*2017 · 347 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2017-end-end-reinforcement-learning-dialogue/)
42. [**SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities**Dong Zhang, Shimin Li, Xin Zhang, et al.*2023 · 346 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/)
43. [**Improving alignment of dialogue agents via targeted human judgements**Amelia Glaese, Nat McAleese, Maja Trębacz, et al.*2022 · 346 citations*](https://md.research.elamur.ai/free/en/papers/glaese-2022-improving-alignment-dialogue-agents-targeted/)
44. [**Directed Acyclic Graph Network for Conversational Emotion Recognition**Weizhou Shen, Siyue Wu, Yunyi Yang, et al.*2021 · 344 citations*](https://md.research.elamur.ai/free/en/papers/shen-2021-directed-acyclic-graph-network-conversational/)
45. [**MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines**Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, et al.*2020 · 335 citations*](https://md.research.elamur.ai/free/en/papers/zang-2020-multiwoz-2-2-dialogue-dataset/)
46. [**Training Millions of Personalized Dialogue Agents**Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, et al.*2018 · 334 citations*](https://md.research.elamur.ai/free/en/papers/mazare-2018-training-millions-personalized-dialogue-agents/)
47. [**DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension**Kai Sun, Dian Yu, Jianshu Chen, et al.*2019 · 331 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-dream-challenge-data-set-models/)
48. [**Frames: a corpus for adding memory to goal-oriented dialogue systems**Layla El Asri, Hannes Schulz, Shikhar Sharma, et al.*2017 · 326 citations*](https://md.research.elamur.ai/free/en/papers/asri-2017-frames-corpus-adding-memory-goal/)
49. [**PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable**Siqi Bao, Huang He, Fan Wang, et al.*2020 · 319 citations*](https://md.research.elamur.ai/free/en/papers/bao-2020-plato-pre-trained-dialogue-generation/)
50. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 307 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
51. [**DialogSum: A Real-Life Scenario Dialogue Summarization Dataset**Yulong Chen, Yang Liu, Liang Chen, et al.*2021 · 301 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/)
52. [**Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack**Emily Dinan, Samuel Humeau, Bharath Chintagunta, et al.*2019 · 291 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2019-build-it-break-it-fix/)
53. [**Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills**Eric Michael Smith, Mary Williamson, Kurt Shuster, et al.*2020 · 288 citations*](https://md.research.elamur.ai/free/en/papers/smith-2020-can-you-put-it-all/)
54. [**USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation**Shikib Mehri, Maxine Eskenazi*2020 · 283 citations*](https://md.research.elamur.ai/free/en/papers/mehri-2020-usr-unsupervised-reference-free-evaluation/)
55. [**Semantic Parsing for Task Oriented Dialog using Hierarchical Representations**Sonal Gupta, Rushin Shah, Mrinal Mohit, et al.*2018 · 280 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2018-semantic-parsing-task-oriented-dialog/)
56. [**Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies**Michel Galley, Kathleen McKeown, Julia Hirschberg, et al.*2004 · 278 citations*](https://md.research.elamur.ai/free/en/papers/galley-2004-identifying-agreement-disagreement-conversational-speech/)
57. [**MIME: MIMicking Emotions for Empathetic Response Generation**Navonil Majumder, Pengfei Hong, Shanshan Peng, et al.*2020 · 277 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2020-mime-mimicking-emotions-empathetic-response/)
58. [**Efficient Dialogue State Tracking by Selectively Overwriting Memory**Sungdong Kim, Sohee Yang, Gyuwan Kim, et al.*2020 · 268 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-efficient-dialogue-state-tracking-selectively/)
59. [**ConveRT: Efficient and Accurate Conversational Representations from Transformers**Matthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.*2020 · 267 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2020-convert-efficient-accurate-conversational-representations/)
60. [**Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation**Emily Dinan, Angela Fan, Adina Williams, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/)
61. [**CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/)
62. [**Retrieve and Refine: Improved Sequence Generation Models For Dialogue**Jason Weston, Emily Dinan, Alexander Miller*2018 · 254 citations*](https://md.research.elamur.ai/free/en/papers/weston-2018-retrieve-refine-improved-sequence-generation/)
63. [**Few-shot Natural Language Generation for Task-Oriented Dialog**Baolin Peng, Chenguang Zhu, Chunyuan Li, et al.*2020 · 253 citations*](https://md.research.elamur.ai/free/en/papers/peng-2020-few-shot-natural-language-generation/)
64. [**Conversations Gone Awry: Detecting Early Signs of Conversational Failure**Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al.*2018 · 250 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-conversations-gone-awry-detecting-early/)
65. [**Knowledge-Grounded Dialogue Generation with Pre-trained Language Models**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 244 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)
66. [**Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 244 citations*](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/)
67. [**Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters**Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al.*2013 · 243 citations*](https://md.research.elamur.ai/free/en/papers/owoputi-2013-improved-part-speech-tagging-online/)
68. [**MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/)
69. [**BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage**Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/shuster-2022-blenderbot-3-deployed-conversational-agent/)
70. [**Dialog State Tracking: A Neural Reading Comprehension Approach**Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-dialog-state-tracking-neural-reading/)
71. [**Decoupling Strategy and Generation in Negotiation Dialogues**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/)
72. [**Open-Domain Question Answering Goes Conversational via Question Rewriting**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 227 citations*](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/)
73. [**Interpretation of Natural Language Rules in Conversational Machine Reading**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 225 citations*](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/)
74. [**Unsupervised Evaluation of Interactive Dialog with DialoGPT**Shikib Mehri, Maxine Eskenazi*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/mehri-2020-unsupervised-evaluation-interactive-dialog-dialogpt/)
75. [**MedAlpaca — An Open-Source Collection of Medical Conversational AI Models and Training Data**Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, et al.*2023 · 221 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-medalpaca-open-source-collection-medical/)
76. [**Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training**Margaret Li, Stephen Roller, Ilia Kulikov, et al.*2020 · 214 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/)
77. [**Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking**Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.*2015 · 212 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-stochastic-language-generation-dialogue-recurrent/)
78. [**Towards an ISO Standard for Dialogue Act Annotation**Harry Bunt, Jan Alexandersson, Jean Carletta, et al.*2010 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2010-iso-standard-dialogue-act-annotation/)
79. [**On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?**Nouha Dziri, Sivan Milton, Mo Yu, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/)
80. [**Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization**Jiaao Chen, Diyi Yang*2020 · 202 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-multi-view-sequence-sequence-models/)
81. [**Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus**Nicholas Asher, Julie Hunter, Mathieu Morey, et al.*2016 · 202 citations*](https://md.research.elamur.ai/free/en/papers/asher-2016-discourse-structure-dialogue-acts-multiparty/)
82. [**SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
83. [**Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering**Or Honovich, Leshem Choshen, Roee Aharoni, et al.*2021 · 195 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2021-q-2-evaluating-factual-consistency/)
84. [**Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic**Keqin Chen, Zhao Zhang, Weili Zeng, et al.*2023 · 194 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-shikra-unleashing-multimodal-llm-s/)
85. [**MuTual: A Dataset for Multi-Turn Dialogue Reasoning**Leyang Cui, Yu Wu, Shujie Liu, et al.*2020 · 189 citations*](https://md.research.elamur.ai/free/en/papers/cui-2020-mutual-dataset-multi-turn-dialogue/)
86. [**A General, Abstract Model of Incremental Dialogue Processing**David Schlangen, Gabriel Skantze*2011 · 188 citations*](https://md.research.elamur.ai/free/en/papers/schlangen-2011-general-abstract-model-incremental-dialogue/)
87. [**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/)
88. [**MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization**Chenguang Zhu, Yang Liu, Jie Mei, et al.*2021 · 176 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-mediasum-large-scale-media-interview/)
89. [**MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues**Ge Bai, Jie Liu, Xingyuan Bu, et al.*2024 · 171 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/)
90. [**ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering**Zhiyu Chen, Shiyang Li, Charese Smiley, et al.*2022 · 171 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-convfinqa-exploring-chain-numerical-reasoning/)
91. [**Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue**Shereen Oraby, Vrindavan Harrison, Lena Reed, et al.*2016 · 163 citations*](https://md.research.elamur.ai/free/en/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/)
92. [**Moshi: a speech-text foundation model for real-time dialogue**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/)
93. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/)
94. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
95. [**A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue**Michael Strube, Christoph Müller*2003 · 149 citations*](https://md.research.elamur.ai/free/en/papers/strube-2003-machine-learning-approach-pronoun-resolution/)
96. [**In-Context Learning for Few-Shot Dialogue State Tracking**Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-context-learning-few-shot-dialogue/)
97. [**Using Context Information for Dialog Act Classification in DNN Framework**Yang Liu, Kun Han, Zhao Tan, et al.*2017 · 143 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-context-information-dialog-act-classification/)
98. [**End-to-End Task-Completion Neural Dialogue Systems**Xiujun Li, Yun-Nung Chen, Lihong Li, et al.*2017 · 141 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-end-end-task-completion-neural/)
99. [**ConvoKit: A Toolkit for the Analysis of Conversations**Jonathan P. Chang, Caleb Chiam, Liye Fu, et al.*2020 · 137 citations*](https://md.research.elamur.ai/free/en/papers/chang-2020-convokit-toolkit-analysis-conversations/)
100. [**Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network**Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen*2016 · 134 citations*](https://md.research.elamur.ai/free/en/papers/khanpour-2016-dialogue-act-classification-domain-independent/)
101. [**Lexical, Prosodic, and Syntactic Cues for Dialog Acts**Daniel Jurafsky, Elizabeth Shriberg, Barbara Fox, et al.*1998 · 132 citations*](https://md.research.elamur.ai/free/en/papers/jurafsky-1998-lexical-prosodic-syntactic-cues-dialog/)
102. [**MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation**Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/ye-2022-multiwoz-2-4-multi-domain/)
103. [**MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/)
104. [**Dialogue Act Tagging with Transformation-Based Learning**Ken Samuel, Sandra Carberry, K. Vijay-Shanker*1998 · 128 citations*](https://md.research.elamur.ai/free/en/papers/samuel-1998-dialogue-act-tagging-transformation-based/)
105. [**Classifying Dialogue Acts in One-on-One Live Chats**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2010 · 125 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-classifying-dialogue-acts-one-one/)
106. [**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/)
107. [**Task-Oriented Dialogue as Dataflow Synthesis**Jacob Andreas, John Bufe, David Burkett, et al.*2020 · 119 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2020-task-oriented-dialogue-as-dataflow/)
108. [**Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs**Cristian Danescu-Niculescu-Mizil, Lillian Lee*2011 · 110 citations*](https://md.research.elamur.ai/free/en/papers/mizil-2011-chameleons-imagined-conversations-new-approach/)
109. [**Dialogue Acts, Synchronizing Units, and Anaphora Resolution**Miriam Eckert, Michael Strube*2000 · 103 citations*](https://md.research.elamur.ai/free/en/papers/eckert-2000-dialogue-acts-synchronizing-units-anaphora/)
110. [**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/)
111. [**The MATE meta-scheme for coreference in dialogues in multiple languages**M. Poesio, F. Bruneseaux, L. Romary*1999 · 96 citations*](https://md.research.elamur.ai/free/en/papers/poesio-1999-mate-meta-scheme-coreference-dialogues/)
112. [**Utilizing Statistical Dialogue Act Processing in Verbmobil**Norbert Reithinger, Elisabeth Maier*1995 · 94 citations*](https://md.research.elamur.ai/free/en/papers/reithinger-1995-utilizing-statistical-dialogue-act-processing/)
113. [**Dialogue Act Classification with Context-Aware Self-Attention**Vipul Raheja, Joel Tetreault*2019 · 88 citations*](https://md.research.elamur.ai/free/en/papers/raheja-2019-dialogue-act-classification-context-aware/)
114. [**GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue**Jun Quan, Deyi Xiong, Bonnie Webber, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/quan-2019-gecor-end-end-generative-ellipsis/)
115. [**Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)
116. [**Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues**Simon Keizer, Rieks op den Akker, Anton Nijholt*2002 · 83 citations*](https://md.research.elamur.ai/free/en/papers/keizer-2002-dialogue-act-recognition-bayesian-networks/)
117. [**Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2020 · 82 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-will-i-sound-like-me/)
118. [**Coreference-Aware Dialogue Summarization**Zhengyuan Liu, Ke Shi, Nancy Chen*2021 · 81 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-coreference-aware-dialogue-summarization/)
119. [**Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages**Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar*2012 · 81 citations*](https://md.research.elamur.ai/free/en/papers/ferschke-2012-behind-article-recognizing-dialog-acts/)
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