---
title: "Who cites Dialogue Act Modeling for Automatic Tagging and…"
description: "339 papers of the Elamur Research library cite «Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Dialogue Act Modeling for Automatic Tagging and…](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/) / cited by

# Who cites «Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech»

339 papers of our library cite it (of the 140,884 whose bibliographies we read) · 44 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)

1. [**Survey Article: Inter-Coder Agreement for Computational Linguistics**Ron Artstein, Massimo Poesio*2008 · 1,770 citations*](https://md.research.elamur.ai/free/en/papers/artstein-2008-survey-article-inter-coder-agreement/)
2. [**Can Large Language Models Transform Computational Social Science?**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 776 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/)
3. [**Unsupervised Modeling of Twitter Conversations**Alan Ritter, Colin Cherry, Bill Dolan*2010 · 557 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2010-unsupervised-modeling-twitter-conversations/)
4. [**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/)
5. [**Get out the vote: Determining support or opposition from Congressional floor-debate transcripts**Matt Thomas, Bo Pang, Lillian Lee*2006 · 307 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/)
6. [**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/)
7. [**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/)
8. [**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/)
9. [**Towards Emotion-aided Multi-modal Dialogue Act Classification**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 78 citations*](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/)
10. [**FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification**Riccardo Serafin, Barbara Di Eugenio*2004 · 68 citations*](https://md.research.elamur.ai/free/en/papers/serafin-2004-flsa-extending-latent-semantic-analysis/)
11. [**An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue**Kristy Boyer, Joseph Grafsgaard, Eun Young Ha, et al.*2011 · 60 citations*](https://md.research.elamur.ai/free/en/papers/boyer-2011-affect-enriched-dialogue-act-classification/)
12. [**Dialogue Act Tagging for Instant Messaging Chat Sessions**Edward Ivanovic*2005 · 57 citations*](https://md.research.elamur.ai/free/en/papers/ivanovic-2005-dialogue-act-tagging-instant-messaging/)
13. [**A Multidimensional Approach to Utterance Segmentation and Dialogue Act Classification**Jeroen Geertzen, Volha Petukhova, Harry Bunt*2007 · 55 citations*](https://md.research.elamur.ai/free/en/papers/geertzen-2007-multidimensional-approach-utterance-segmentation-dialogue/)
14. [**Multi-level Dialogue Act Tags**Alexander Clark, Andrei Popescu-Belis*2004 · 54 citations*](https://md.research.elamur.ai/free/en/papers/clark-2004-multi-level-dialogue-act-tags/)
15. [**Neural-based Context Representation Learning for Dialog Act Classification**Daniel Ortega, Ngoc Thang Vu*2017 · 51 citations*](https://md.research.elamur.ai/free/en/papers/ortega-2017-neural-based-context-representation-learning/)
16. [**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/)
17. [**A Hierarchical Neural Model for Learning Sequences of Dialogue Acts**Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari*2017 · 44 citations*](https://md.research.elamur.ai/free/en/papers/tran-2017-hierarchical-neural-model-learning-sequences/)
18. [**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/)
19. [**Dialogue Act Modeling in a Complex Task-Oriented Domain**Kristy Boyer, Eun Y. Ha, Robert Phillips, et al.*2010 · 42 citations*](https://md.research.elamur.ai/free/en/papers/boyer-2010-dialogue-act-modeling-complex-task/)
20. [**Classifying Dialogue Acts in Multi-party Live Chats**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2012 · 34 citations*](https://md.research.elamur.ai/free/en/papers/kim-2012-classifying-dialogue-acts-multi-party/)
21. [**Dialog Act Annotation for Twitter Conversations**Elina Zarisheva, Tatjana Scheffler*2015 · 26 citations*](https://md.research.elamur.ai/free/en/papers/zarisheva-2015-dialog-act-annotation-twitter-conversations/)
22. [**Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions**Jingye Li, Hao Fei, Donghong Ji*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-modeling-local-contexts-joint-dialogue/)
23. [**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/)
24. [**Speaker-change Aware CRF for Dialogue Act Classification**Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, et al.*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shang-2020-speaker-change-aware-crf-dialogue/)
25. [**Towards Scalable Speech Act Recognition in Twitter: Tackling Insufficient Training Data**Renxian Zhang, Dehong Gao, Wenjie Li*2012 · 23 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2012-scalable-speech-act-recognition-twitter/)
26. [**Preserving Distributional Information in Dialogue Act Classification**Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari*2017 · 22 citations*](https://md.research.elamur.ai/free/en/papers/tran-2017-preserving-distributional-information-dialogue-act/)
27. [**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/)
28. [**Multimodality and Dialogue Act Classification in the RoboHelper Project**Lin Chen, Barbara Di Eugenio*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2013-multimodality-dialogue-act-classification-robohelper/)
29. [**What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/)
30. [**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/)
31. [**Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification**Dilafruz Amanova, Volha Petukhova, Dietrich Klakow*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/amanova-2016-creating-annotated-dialogue-resources-cross/)
32. [**Multilingual Coreference Resolution in Multiparty Dialogue**Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-multilingual-coreference-resolution-multiparty-dialogue/)
33. [**Multi-level Gated Recurrent Neural Network for dialog act classification**Wei Li, Yunfang Wu*2016 · 8 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-multi-level-gated-recurrent-neural/)
34. [**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/)
35. [**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/)
36. [**Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/)
37. [**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/)
38. [**What did you say? Generating Child-Directed Speech Questions to Train LLMs**Whitney Poh, Michael Tombolini, Libby Barak*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/poh-2025-what-did-you-say-generating/)
39. [**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/)
40. [**Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus**Run Chen, Zihao Tao, John Prado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chen-2026-completing-validating-re-aligned-switchboard/)
41. [**Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/)
42. [**From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization**Yuiko Tsunomori, Yuya Chiba, Yosuke Koshikawa*2026*](https://md.research.elamur.ai/free/en/papers/tsunomori-2026-felt-sense-words-construction-analysis/)
43. [**I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System**Zi Haur Pang, Yahui Fu, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pang-2026-i-understand-how-you-feel/)
44. [**PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-pair-pilot-dataset-dual-perspective/)

295 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/) — Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech