---
title: "Who cites Noah Coccaro — 417 papers of our library"
description: "417 papers of the Elamur Research library cite the works of Noah Coccaro, found in their bibliographies · page 1 of 2 · 1–100; the most cited first."
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# Who cites Noah Coccaro

473 citations of their works from 417 papers of our library (of the 149,439 whose bibliographies we read) · 133 with a page here, the most cited first · page 1 of 2 · 1–100 · [← Noah Coccaro](https://md.research.elamur.ai/free/en/authors/noah-coccaro/)

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1. **[Survey Article: Inter-Coder Agreement for Computational Linguistics](https://md.research.elamur.ai/free/en/papers/artstein-2008-survey-article-inter-coder-agreement/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ron Artstein, Massimo Poesio*2008 · 1,770 citations*
2. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*2000 · 1,453 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)
3. **[Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 790 citations*
4. **[Unsupervised Modeling of Twitter Conversations](https://md.research.elamur.ai/free/en/papers/ritter-2010-unsupervised-modeling-twitter-conversations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Alan Ritter, Colin Cherry, Bill Dolan*2010 · 562 citations*
5. **[Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyang Zhou, Lu Li, Daxiang Dong, et al.*2018 · 410 citations*
6. **[Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health](https://md.research.elamur.ai/free/en/papers/althoff-2016-large-scale-analysis-counseling-conversations/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tim Althoff, Kevin Clark, Jure Leskovec*2016 · 395 citations*
7. [**Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech? Language and Speech 41(3-4), 439-487, 1998**E. Shriberg, R. Bates, A. Stolcke, et al.*1998 · 356 citations*](https://md.research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/)
8. **[Get out the vote: Determining support or opposition from Congressional floor-debate transcripts](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matt Thomas, Bo Pang, Lillian Lee*2006 · 311 citations*
9. **[Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies](https://md.research.elamur.ai/free/en/papers/galley-2004-identifying-agreement-disagreement-conversational-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michel Galley, Kathleen McKeown, Julia Hirschberg, et al.*2004 · 278 citations*
10. [**Recurrent Convolutional Neural Networks for Discourse Compositionality arXiv:1306.3584**Nal Kalchbrenner, Phil Blunsom*2013 · 253 citations*](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2013-recurrent-convolutional-neural-networks-discourse/)
11. **[Using Context Information for Dialog Act Classification in DNN Framework](https://md.research.elamur.ai/free/en/papers/liu-2017-context-information-dialog-act-classification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yang Liu, Kun Han, Zhao Tan, et al.*2017 · 143 citations*
12. **[Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network](https://md.research.elamur.ai/free/en/papers/khanpour-2016-dialogue-act-classification-domain-independent/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen*2016 · 134 citations*
13. [**Lexical, Prosodic, and Syntactic Cues for Dialog Acts Discourse Relations and Discourse Markers**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/)
14. **[Classifying Dialogue Acts in One-on-One Live Chats](https://md.research.elamur.ai/free/en/papers/kim-2010-classifying-dialogue-acts-one-one/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2010 · 125 citations*
15. **[A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models](https://md.research.elamur.ai/free/en/papers/ji-2016-latent-variable-recurrent-neural-network/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein*2016 · 121 citations*
16. **[Semi-supervised Speech Act Recognition in Emails and Forums](https://md.research.elamur.ai/free/en/papers/jeong-2009-semi-supervised-speech-act-recognition/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee*2009 · 106 citations*
17. **[Text-Free Prosody-Aware Generative Spoken Language Modeling](https://md.research.elamur.ai/free/en/papers/kharitonov-2022-text-free-prosody-aware-generative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eugene Kharitonov, Ann Lee, Adam Polyak, et al.*2022 · 104 citations*
18. **[Automatic Committed Belief Tagging](https://md.research.elamur.ai/free/en/papers/prabhakaran-2010-automatic-committed-belief-tagging/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Vinodkumar Prabhakaran, Owen Rambow, Mona Diab*2010 · 83 citations*
19. **[Towards Emotion-aided Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 79 citations*
20. **[FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/serafin-2004-flsa-extending-latent-semantic-analysis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Riccardo Serafin, Barbara Di Eugenio*2004 · 68 citations*
21. **[DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems](https://md.research.elamur.ai/free/en/papers/walker-2001-date-dialogue-act-tagging-scheme/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Marilyn Walker, Rebecca Passonneau*2001 · 65 citations*
22. **[An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/boyer-2011-affect-enriched-dialogue-act-classification/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristy Boyer, Joseph Grafsgaard, Eun Young Ha, et al.*2011 · 60 citations*
23. [**A Framework for Annotating Information Structure in Discourse**Sasha Calhoun, Malvina Nissim, Mark Steedman, et al.*2005 · 59 citations*](https://md.research.elamur.ai/free/en/papers/calhoun-2005-framework-annotating-information-structure-discourse/)
24. **[Decision-Oriented Dialogue for Human-AI Collaboration](https://md.research.elamur.ai/free/en/papers/lin-2024-decision-oriented-dialogue-human-ai/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jessy Lin, Nicholas Tomlin, Jacob Andreas, et al.*2024 · 57 citations*
25. **[Dialogue Act Tagging for Instant Messaging Chat Sessions](https://md.research.elamur.ai/free/en/papers/ivanovic-2005-dialogue-act-tagging-instant-messaging/) [ACL Student Research Workshop](https://md.research.elamur.ai/free/en/venues/acl-student-research-workshop/)**Edward Ivanovic*2005 · 57 citations*
26. **[Contextual Dialogue Act Classification for Open-Domain Conversational Agents](https://md.research.elamur.ai/free/en/papers/ahmadvand-2020-contextual-dialogue-act-classification-open/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein*2020 · 56 citations*
27. **[Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs](https://md.research.elamur.ai/free/en/papers/misra-2024-language-models-learn-rare-phenomena/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kanishka Misra, Kyle Mahowald*2024 · 55 citations*
28. **[A Multidimensional Approach to Utterance Segmentation and Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/geertzen-2007-multidimensional-approach-utterance-segmentation-dialogue/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Jeroen Geertzen, Volha Petukhova, Harry Bunt*2007 · 55 citations*
29. **[Multi-level Dialogue Act Tags](https://md.research.elamur.ai/free/en/papers/clark-2004-multi-level-dialogue-act-tags/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Alexander Clark, Andrei Popescu-Belis*2004 · 54 citations*
30. **[Neural-based Context Representation Learning for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2017-neural-based-context-representation-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Daniel Ortega, Ngoc Thang Vu*2017 · 51 citations*
31. **[Unsupervised Classification of Dialogue Acts using a Dirichlet Process Mixture Model](https://md.research.elamur.ai/free/en/papers/crook-2009-unsupervised-classification-dialogue-acts-dirichlet/) [SIGDIAL Conference](https://md.research.elamur.ai/free/en/venues/sigdial-conference/)**Nigel Crook, Ramon Granell, Stephen Pulman*2009 · 51 citations*
32. [**MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations**Dian Yu, Zhou Yu*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)
33. **[A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chandrakant Bothe, Cornelius Weber, Sven Magg, et al.*2018 · 46 citations*
34. **[On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/cerisara-2020-effects-using-word2vec-representations-neural/) [Computer Speech & Language](https://md.research.elamur.ai/free/en/venues/computer-speech-language/)**Christophe Cerisara, Pavel Kral, Ladislav Lenc*2017 · 46 citations*
35. **[A Hierarchical Neural Model for Learning Sequences of Dialogue Acts](https://md.research.elamur.ai/free/en/papers/tran-2017-hierarchical-neural-model-learning-sequences/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari*2017 · 44 citations*
36. [**Speaker Turn Modeling for Dialogue Act Classification**Zihao He, Leili Tavabi, Kristina Lerman, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/)
37. **[Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter](https://md.research.elamur.ai/free/en/papers/saha-2021-sentiment-emotion-aided-multi-modal/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tulika Saha, Apoorva Upadhyaya, Sriparna Saha, et al.*2021 · 43 citations*
38. **[A Model for Processing Illocutionary Structures and Argumentation in Debates](https://md.research.elamur.ai/free/en/papers/budzynska-2014-model-processing-illocutionary-structures-argumentation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kasia Budzynska, Mathilde Janier, Chris Reed, et al.*2014 · 42 citations*
39. **[Dialogue Act Modeling in a Complex Task-Oriented Domain](https://md.research.elamur.ai/free/en/papers/boyer-2010-dialogue-act-modeling-complex-task/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Kristy Boyer, Eun Y. Ha, Robert Phillips, et al.*2010 · 42 citations*
40. **[A Generative Attentional Neural Network Model for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/tran-2017-generative-attentional-neural-network-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman*2017 · 38 citations*
41. **[Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/ji-2006-backoff-model-training-partially-observed/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Gang Ji, Jeff Bilmes*2006 · 37 citations*
42. [**Guiding attention in Sequence-to-sequence models for Dialogue Act prediction AAAI 2020**Pierre Colombo, Emile Chapuis, Matteo Manica, et al.*2020 · 34 citations*](https://md.research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/)
43. **[Automatic Identification of Rhetorical Questions](https://md.research.elamur.ai/free/en/papers/bhattasali-2015-automatic-identification-rhetorical-questions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shohini Bhattasali, Jeremy Cytryn, Elana Feldman, et al.*2015 · 34 citations*
44. **[Classifying Dialogue Acts in Multi-party Live Chats](https://md.research.elamur.ai/free/en/papers/kim-2012-classifying-dialogue-acts-multi-party/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2012 · 34 citations*
45. [**Identifying Discourse Markers in Spoken Dialog AAAI 1998 Spring Symposium on Applying Machine Learning to Discourse Processing**Peter A. Heeman, Donna Byron, James F. Allen*1998 · 33 citations*](https://md.research.elamur.ai/free/en/papers/heeman-1998-identifying-discourse-markers-spoken-dialog/)
46. [**Tweet Acts: A Speech Act Classifier for Twitter arXiv:1605.05156**Soroush Vosoughi, Deb Roy*2016 · 32 citations*](https://md.research.elamur.ai/free/en/papers/vosoughi-2016-tweet-acts-speech-act-classifier/)
47. [**The Influence of Context on Dialogue Act Recognition arXiv:1506.00839**Eugenio Ribeiro, Ricardo Ribeiro, David Martins de Matos*2015 · 32 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2015-influence-context-dialogue-act-recognition/)
48. **[Classifying Speech Acts using Verbal Response Modes](https://md.research.elamur.ai/free/en/papers/lampert-2006-classifying-speech-acts-verbal-response/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Andrew Lampert, Robert Dale, Cécile Paris*2006 · 32 citations*
49. **[Investigating the Contribution of Distributional Semantic Information for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/milajevs-2014-investigating-contribution-distributional-semantic-information/) [Workshop on Continuous Vector Space Models and their Compositionality](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/)**Dmitrijs Milajevs, Matthew Purver*2014 · 30 citations*
50. [**Tagging of Speech Acts and Dialogue Games in Spanish Call Home Towards Standards and Tools for Discourse Tagging**Lori Levin, Klaus Ries, Ann Thyme-Gobbel, et al.*1999 · 28 citations*](https://md.research.elamur.ai/free/en/papers/levin-1999-tagging-speech-acts-dialogue-games/)
51. **[Dialog Act Annotation for Twitter Conversations](https://md.research.elamur.ai/free/en/papers/zarisheva-2015-dialog-act-annotation-twitter-conversations/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Elina Zarisheva, Tatjana Scheffler*2015 · 26 citations*
52. **[Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/webb-2010-automatic-extraction-cue-phrases-cross/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nick Webb, Michael Ferguson*2010 · 26 citations*
53. **[Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions](https://md.research.elamur.ai/free/en/papers/li-2020-modeling-local-contexts-joint-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Jingye Li, Hao Fei, Donghong Ji*2020 · 25 citations*
54. **[Is this Dialogue Coherent? Learning from Dialogue Acts and Entities](https://md.research.elamur.ai/free/en/papers/cervone-2020-is-this-dialogue-coherent-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Alessandra Cervone, Giuseppe Riccardi*2020 · 24 citations*
55. [**ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents**Stefano Mezza, Alessandra Cervone, Evgeny Stepanov, et al.*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/mezza-2018-iso-standard-domain-independent-dialogue/)
56. [**Domain Adaptation with Unlabeled Data for Dialog Act Tagging Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing**Anna Margolis, Karen Livescu, Mari Ostendorf*2010 · 24 citations*](https://md.research.elamur.ai/free/en/papers/margolis-2010-domain-adaptation-unlabeled-data-dialog/)
57. **[Speaker-change Aware CRF for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/shang-2020-speaker-change-aware-crf-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, et al.*2020 · 23 citations*
58. [**Towards Scalable Speech Act Recognition in Twitter: Tackling Insufficient Training Data Proceedings of the Workshop on Semantic Analysis in Social Media**Renxian Zhang, Dehong Gao, Wenjie Li*2012 · 23 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2012-scalable-speech-act-recognition-twitter/)
59. **[Preserving Distributional Information in Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/tran-2017-preserving-distributional-information-dialogue-act/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari*2017 · 22 citations*
60. **[Training a Dialogue Act Tagger for Human-human and Human-computer Travel dialogues](https://md.research.elamur.ai/free/en/papers/prasad-2002-training-dialogue-act-tagger-human/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Rashmi Prasad, Marilyn Walker*2002 · 22 citations*
61. **[Lexico-acoustic Neural-based Models for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2018-lexico-acoustic-neural-based-models/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Daniel Ortega, Ngoc Thang Vu*2018 · 21 citations*
62. **[A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication](https://md.research.elamur.ai/free/en/papers/wallace-2013-generative-joint-additive-sequential-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Byron C. Wallace, Thomas A. Trikalinos, M. Barton Laws, et al.*2013 · 21 citations*
63. **[Improving the Quality of Minority Class Identification in Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/omuya-2013-improving-quality-minority-class-identification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Adinoyi Omuya, Vinodkumar Prabhakaran, Owen Rambow*2013 · 21 citations*
64. **[Investigating the Portability of Corpus-Derived Cue Phrases for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/webb-2008-investigating-portability-corpus-derived-cue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nick Webb, Ting Liu*2008 · 21 citations*
65. **[Detecting Institutional Dialog Acts in Police Traffic Stops](https://md.research.elamur.ai/free/en/papers/prabhakaran-2018-detecting-institutional-dialog-acts-police/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, et al.*2018 · 20 citations*
66. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
67. **[Multimodality and Dialogue Act Classification in the RoboHelper Project](https://md.research.elamur.ai/free/en/papers/chen-2013-multimodality-dialogue-act-classification-robohelper/) [SIGDIAL Conference](https://md.research.elamur.ai/free/en/venues/sigdial-conference/)**Lin Chen, Barbara Di Eugenio*2013 · 20 citations*
68. **[Latent Semantic Analysis for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/serafin-2003-latent-semantic-analysis-dialogue-act/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Riccardo Serafin, Barbara Di Eugenio, Michael Glass*2003 · 20 citations*
69. **[What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations*
70. [**Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues**Shachi Paul, Rahul Goel, Dilek Hakkani-Tur*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/paul-2019-towards-universal-dialogue-act-tagging/)
71. **[Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/amanova-2016-creating-annotated-dialogue-resources-cross/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dilafruz Amanova, Volha Petukhova, Dietrich Klakow*2016 · 19 citations*
72. **[Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems](https://md.research.elamur.ai/free/en/papers/manuvinakurike-2016-incremental-dialogue-act-segmentation-fast/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Ramesh Manuvinakurike, Maike Paetzel, Cheng Qu, et al.*2016 · 19 citations*
73. **[Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations](https://md.research.elamur.ai/free/en/papers/ribeiro-2018-deep-dialog-act-recognition-using/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2018 · 18 citations*
74. [**Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition arXiv:2003.06044**Zhigang Dai, Jinhua Fu, Qile Zhu, et al.*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-local-contextual-attention-hierarchical-structure/)
75. **[Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training](https://md.research.elamur.ai/free/en/papers/wan-2018-improved-dynamic-memory-network-dialogue/) [IEEE International Conference on Big Data (BigData)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-big-data-bigdata/)**Yao Wan, Wenqiang Yan, Jianwei Gao, et al.*2018 · 14 citations*
76. [**Arabic Inquiry-Answer Dialogue Acts Annotation Schema arXiv:1505.04197**AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith*2015 · 14 citations*](https://md.research.elamur.ai/free/en/papers/elmadany-2015-arabic-inquiry-answer-dialogue-acts/)
77. **[Rare-Class Dialogue Act Tagging for Alzheimer's Disease Diagnosis](https://md.research.elamur.ai/free/en/papers/nasreen-2021-rare-class-dialogue-act-tagging/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Shamila Nasreen, Julian Hough, Matthew Purver*2021 · 13 citations*
78. **[Multilingual Coreference Resolution in Multiparty Dialogue](https://md.research.elamur.ai/free/en/papers/zheng-2023-multilingual-coreference-resolution-multiparty-dialogue/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al.*2023 · 11 citations*
79. **[End-to-end speech-to-dialog-act recognition](https://md.research.elamur.ai/free/en/papers/dang-2020-end-end-speech-dialog-act/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Viet-Trung Dang, Tianyu Zhao, Sei Ueno, et al.*2020 · 11 citations*
80. **[Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions](https://md.research.elamur.ai/free/en/papers/ortega-2019-context-aware-neural-based-dialog/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Daniel Ortega, Chia-Yu Li, Gisela Vallejo, et al.*2019 · 11 citations*
81. **[Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences](https://md.research.elamur.ai/free/en/papers/jo-2017-modeling-dialogue-acts-content-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yohan Jo, Michael Yoder, Hyeju Jang, et al.*2017 · 11 citations*
82. **[Integrating User History into Heterogeneous Graph for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/wang-2020-integrating-user-history-into-heterogeneous/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Dong Wang, Ziran Li, Haitao Zheng, et al.*2020 · 10 citations*
83. **[Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-learning-dialog-act-segmentation/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Tianyu Zhao, Tatsuya Kawahara*2017 · 10 citations*
84. **[A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message](https://md.research.elamur.ai/free/en/papers/elmadany-2015-survey-arabic-dialogues-understanding-spontaneous/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith*2015 · 10 citations*
85. **[Combining Task and Dialogue Streams in Unsupervised Dialogue Act Models](https://md.research.elamur.ai/free/en/papers/can-2014-combining-task-dialogue-streams-unsupervised/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Aysu Ezen-Can, Kristy Boyer*2014 · 10 citations*
86. **[A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System](https://md.research.elamur.ai/free/en/papers/zhao-2018-unified-neural-architecture-joint-dialog/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Tianyu Zhao, Tatsuya Kawahara*2018 · 8 citations*
87. **[Multi-level Gated Recurrent Neural Network for dialog act classification](https://md.research.elamur.ai/free/en/papers/li-2016-multi-level-gated-recurrent-neural/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wei Li, Yunfang Wu*2016 · 8 citations*
88. **[“I Object!” Modeling Latent Pragmatic Effects in Courtroom Dialogues](https://md.research.elamur.ai/free/en/papers/goldwasser-2014-i-object-modeling-latent-pragmatic/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dan Goldwasser, Hal Daumé III*2014 · 8 citations*
89. [**Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning**Bill Noble, Vladislav Maraev*2021 · 7 citations*](https://md.research.elamur.ai/free/en/papers/noble-2021-large-scale-text-pre-training/)
90. [**Do LLMs Understand Dialogues? A Case Study on Dialogue Acts**Ayesha Qamar, Jonathan Tong, Ruihong Huang*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/qamar-2025-do-llms-understand-dialogues-case/)
91. **[Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations](https://md.research.elamur.ai/free/en/papers/gao-2025-interaction-matters-evaluation-framework-interactive/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Rena Gao, Carsten Roever, Jey Han Lau*2025 · 6 citations*
92. **[Dual Process Masking for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/kim-2024-dual-process-masking-dialogue-act/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yeo Jin Kim, Halim Acosta, Wookhee Min, et al.*2024 · 6 citations*
93. **[Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*2023 · 6 citations*
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97. **[Using Syntactic and Semantic based Relations for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/kluwer-2010-syntactic-semantic-based-relations-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tina Klüwer, Hans Uszkoreit, Feiyu Xu*2010 · 6 citations*
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99. **[EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators](https://md.research.elamur.ai/free/en/papers/bothe-2020-eda-enriching-emotional-dialogue-acts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chandrakant Bothe, Cornelius Weber, Sven Magg, et al.*2020 · 5 citations*
100. **[Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/yavuz-2020-simple-data-augmentation-mask-token/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.*2020 · 5 citations*

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