---
title: "Who cites Marie Meteer — 455 papers of our library"
description: "455 papers of the Elamur Research library cite the works of Marie Meteer, found in their bibliographies · page 1 of 2 · 1–100; the most cited first."
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# Who cites Marie Meteer

498 citations of their works from 455 papers of our library (of the 141,840 whose bibliographies we read) · 115 with a page here, the most cited first · page 1 of 2 · 1–100 · [← Marie Meteer](https://md.research.elamur.ai/free/en/authors/marie-meteer/)

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1. **[Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging](https://md.research.elamur.ai/free/en/papers/brill-1995-transformation-based-error-driven-learning/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Eric Brill*1995 · 1,776 citations*
2. **[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*
3. **[A Maximum Entropy Model for Part-Of-Speech Tagging](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-1996-maximum-entropy-model-part-speech/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Adwait Ratnaparkhi*1996 · 1,555 citations*
4. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*2000 · 1,450 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)
5. **[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 · 777 citations*
6. [**Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment**Regina Barzilay, Lillian Lee*2003 · 622 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2003-learning-paraphrase-unsupervised-approach-multiple/)
7. **[Supertagging: An Approach to Almost Parsing](https://md.research.elamur.ai/free/en/papers/bangalore-1999-supertagging-approach-almost-parsing/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Srinivas Bangalore, Aravind K. Joshi*1999 · 567 citations*
8. **[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 · 561 citations*
9. **[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*
10. **[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 · 390 citations*
11. **[Robust Accurate Statistical Annotation of General Text](https://md.research.elamur.ai/free/en/papers/briscoe-2002-robust-accurate-statistical-annotation-general/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ted Briscoe, John Carroll*2002 · 351 citations*
12. **[Automatic Rule Induction for Unknown-Word Guessing](https://md.research.elamur.ai/free/en/papers/mikheev-1997-automatic-rule-induction-unknown-word/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Andrei Mikheev*1997 · 311 citations*
13. **[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 · 307 citations*
14. **[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*
15. **[A Corpus-Based Approach for Building Semantic Lexicons](https://md.research.elamur.ai/free/en/papers/riloff-1997-corpus-based-approach-building-semantic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ellen Riloff, Jessica Shepherd*1997 · 230 citations*
16. **[Statistical Metaphor Processing](https://md.research.elamur.ai/free/en/papers/shutova-2013-statistical-metaphor-processing/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ekaterina Shutova, Simone Teufel, Anna Korhonen*2013 · 197 citations*
17. **[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*
18. [**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/)
19. **[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*
20. **[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 · 101 citations*
21. **[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*
22. **[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*
23. **[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*
24. **[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*
25. **[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*
26. [**A Framework for Annotating Information Structure in Discourse**Sasha Calhoun, Malvina Nissim, Mark Steedman, et al.*2005 · 58 citations*](https://md.research.elamur.ai/free/en/papers/calhoun-2005-framework-annotating-information-structure-discourse/)
27. **[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*
28. **[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*
29. **[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*
30. **[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*
31. **[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*
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. [**Facilitating the Communication of Politeness through Fine-Grained Paraphrasing**Liye Fu, Susan Fussell, Cristian Danescu-Niculescu-Mizil*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/fu-2020-facilitating-communication-politeness-through-fine/)
41. **[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*
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. [**Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew**Saib Manour, Khalil Sima'an, Yoad Winter*2007 · 34 citations*](https://md.research.elamur.ai/free/en/papers/manour-2007-smoothing-lexicon-based-pos-tagger/)
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. **[Chinese Idiom Paraphrasing](https://md.research.elamur.ai/free/en/papers/qiang-2023-chinese-idiom-paraphrasing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jipeng Qiang, Yang Li, Chaowei Zhang, et al.*2023 · 31 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. **[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*
51. **[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*
52. **[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*
53. **[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*
54. [**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/)
55. [**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/)
56. **[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*
57. [**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/)
58. **[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*
59. **[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*
60. **[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*
61. **[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*
62. [**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/)
63. **[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*
64. **[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*
65. [**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/)
66. **[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 · 19 citations*
67. **[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*
68. **[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*
69. **[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*
70. [**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/)
71. **[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*
72. **[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*
73. **[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*
74. **[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*
75. **[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*
76. **[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*
77. **[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*
78. **[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*
79. **[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*
80. **[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*
81. **[“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*
82. [**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/)
83. [**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/)
84. **[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*
85. **[Dialogue Act Modeling for Non-Visual Web Access](https://md.research.elamur.ai/free/en/papers/ashok-2014-dialogue-act-modeling-non-visual/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Vikas Ashok, Yevgen Borodin, Svetlana Stoyanchev, et al.*2014 · 6 citations*
86. **[In-Context Evaluation of Unsupervised Dialogue Act Models for Tutorial Dialogue](https://md.research.elamur.ai/free/en/papers/can-2013-context-evaluation-unsupervised-dialogue-act/) [SIGDIAL Conference](https://md.research.elamur.ai/free/en/venues/sigdial-conference/)**Aysu Ezen-Can, Kristy Boyer*2013 · 6 citations*
87. **[Dialogue Act Recognition using Reweighted Speaker Adaptation](https://md.research.elamur.ai/free/en/papers/sun-2012-dialogue-act-recognition-reweighted-speaker/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Congkai Sun, Louis-Philippe Morency*2012 · 6 citations*
88. **[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*
89. **[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*
90. **[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*
91. **[A Study on Dialog Act Recognition using Character-Level Tokenization](https://md.research.elamur.ai/free/en/papers/ribeiro-2018-study-dialog-act-recognition-using/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2018 · 5 citations*
92. **[Sub-lexical Dialogue Act Classification in a Spoken Dialogue System Support for the Elderly with Cognitive Disabilities](https://md.research.elamur.ai/free/en/papers/sadohara-2013-sub-lexical-dialogue-act-classification/) [Workshop on Speech and Language Processing for Assistive Technologies](https://md.research.elamur.ai/free/en/venues/workshop-on-speech-and-language-processing-for-assistive-technologies/)**Ken Sadohara, Hiroaki Kojima, Takuya Narita, et al.*2013 · 5 citations*
93. **[Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2022-meta-learning-based-deferred-optimisation/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Tulika Saha, Aditya Prakash Patra, Sriparna Saha, et al.*2022 · 4 citations*
94. [**Dialogue Act Classification in Group Chats with DAG-LSTMs arXiv:1908.01821**Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, et al.*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/irsoy-2019-dialogue-act-classification-group-chats/)
95. [**Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models**Ahmad Aljanaideh*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2025-speech-act-patterns-improving-generalizability/)
96. **[What did you say? Generating Child-Directed Speech Questions to Train LLMs](https://md.research.elamur.ai/free/en/papers/poh-2025-what-did-you-say-generating/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Whitney Poh, Michael Tombolini, Libby Barak*2025 · 3 citations*
97. [**COMICORDA: Dialogue Act Recognition in Comic Books**Jiri Martinek, Pavel Kral, Ladislav Lenc, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/martinek-2024-comicorda-dialogue-act-recognition-comic/)
98. **[Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization](https://md.research.elamur.ai/free/en/papers/kumar-2020-augmenting-small-data-classify-contextualized/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abhinav Kumar, Barbara Di Eugenio, Jillian Aurisano, et al.*2020 · 3 citations*
99. **[Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation](https://md.research.elamur.ai/free/en/papers/he-2018-exploring-textual-speech-information-dialogue/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Xuanli He, Quan Tran, William Havard, et al.*2018 · 3 citations*
100. [**Collaborative Annotation of Dialogue Acts: Application of a New ISO Standard to the Switchboard Corpus Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data**Alex C. Fang, Harry Bunt, Jing Cao, et al.*2012 · 3 citations*](https://md.research.elamur.ai/free/en/papers/fang-2012-collaborative-annotation-dialogue-acts-application/)

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