---
title: "Who cites Andreas Stolcke"
description: "610 papers of the Elamur Research library cite the works of Andreas Stolcke, found in their bibliographies; the most cited first."
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---
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# Who cites Andreas Stolcke

647 citations of their works from 610 papers of our library (of the 140,884 whose bibliographies we read) · 62 with a page here, the most cited first · [← Andreas Stolcke](https://md.research.elamur.ai/free/en/authors/andreas-stolcke/)

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. [**A Probabilistic Earley Parser as a Psycholinguistic Model**John Hale*2001 · 1,448 citations*](https://md.research.elamur.ai/free/en/papers/hale-2001-probabilistic-earley-parser-as-psycholinguistic/)
3. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*2000 · 1,447 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)
4. [**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/)
5. [**Argument Mining: A Survey**John Lawrence, Chris Reed*2019 · 601 citations*](https://md.research.elamur.ai/free/en/papers/lawrence-2019-argument-mining-survey/)
6. [**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/)
7. [**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/)
8. [**Discourse Segmentation of Multi-Party Conversation**Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.*2003 · 455 citations*](https://md.research.elamur.ai/free/en/papers/galley-2003-discourse-segmentation-multi-party-conversation/)
9. [**Probabilistic Top-Down Parsing and Language Modeling**Brian Roark*2001 · 424 citations*](https://md.research.elamur.ai/free/en/papers/roark-2001-probabilistic-top-down-parsing-language/)
10. [**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/)
11. [**QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 397 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/)
12. [**Learning for Semantic Parsing with Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2006 · 370 citations*](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/)
13. [**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/)
14. [**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/)
15. [**Efficient, Feature-based, Conditional Random Field Parsing**Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning*2008 · 261 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2008-efficient-feature-based-conditional-random/)
16. [**SLURP: A Spoken Language Understanding Resource Package**Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, et al.*2020 · 222 citations*](https://md.research.elamur.ai/free/en/papers/bastianelli-2020-slurp-spoken-language-understanding-resource/)
17. [**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/)
18. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
19. [**SummScreen: A Dataset for Abstractive Screenplay Summarization**Mingda Chen, Zewei Chu, Sam Wiseman, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/)
20. [**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/)
21. [**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/)
22. [**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/)
23. [**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/)
24. [**Dialogue Act Sequence Labeling using Hierarchical encoder with CRF**Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, et al.*2017 · 75 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2017-dialogue-act-sequence-labeling-using/)
25. [**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/)
26. [**DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems**Marilyn Walker, Rebecca Passonneau*2001 · 65 citations*](https://md.research.elamur.ai/free/en/papers/walker-2001-date-dialogue-act-tagging-scheme/)
27. [**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/)
28. [**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/)
29. [**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/)
30. [**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/)
31. [**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/)
32. [**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/)
33. [**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/)
34. [**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/)
35. [**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/)
36. [**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/)
37. [**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/)
38. [**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/)
39. [**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/)
40. [**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/)
41. [**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/)
42. [**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/)
43. [**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/)
44. [**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/)
45. [**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/)
46. [**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/)
47. [**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/)
48. [**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/)
49. [**Estimation of Probabilistic Context-Free Grammars**Zhiyi Chi, Stuart Geman*1998 · 18 citations*](https://md.research.elamur.ai/free/en/papers/chi-1998-estimation-probabilistic-context-free-grammars/)
50. [**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/)
51. [**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/)
52. [**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/)
53. [**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/)
54. [**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/)
55. [**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/)
56. [**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/)
57. [**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/)
58. [**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/)
59. [**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/)
60. [**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/)
61. [**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/)
62. [**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/)

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