---
title: "Who cites Dialogue Act Modeling for Automatic Tagging and…"
description: "The papers of the Elamur Research library that cite «Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/"
---
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# Who cites «Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech»

339 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/page/4/)

1. [A First Step towards Dialog Simulation with Grounded Dialog Graphs](https://aclanthology.org/2026.codi-1.11/) *— 2026 · Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)*
2. [Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances](https://aclanthology.org/2026.eacl-long.284/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus](https://md.research.elamur.ai/free/en/papers/chen-2026-completing-validating-re-aligned-switchboard/) *— our card · 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)*
4. [Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking](https://aclanthology.org/2026.findings-acl.1275/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
5. [Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation](https://aclanthology.org/2026.sigdial-1.29/) *— 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
6. [Does Episodic Memory Help Close the Lexical Frequency Gap in Sensitivity to Syntactic Contrasts? A Test Using Retrieval-Augmented Language Models](https://arxiv.org/abs/2608.23851) *— 2026 · arXiv:2608.23851*
7. [From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization](https://aclanthology.org/2026.sigdial-1.19/) *— 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
8. [I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System](https://aclanthology.org/2026.sigdial-1.16/) *— 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
9. [Interpretable Satisfaction Modeling in Sales Dialogues: A Metrics-based Approach Validated Against Text-based Model](https://aclanthology.org/2026.sigdial-1.40/) *— 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
10. [Investigating Proactivity in Multimodal Task-Guidance Dialogues](https://aclanthology.org/2026.lrec-1.5/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
11. [Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models](https://aclanthology.org/2026.acl-long.241/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [MECH: A Cost-Effective Multi-Task Cascade Framework for Classroom Opinion Evolution Recognition](https://aclanthology.org/2026.acl-long.1028/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects](https://aclanthology.org/2026.cdl-1.18/) *— 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)*
14. [PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation](https://aclanthology.org/2026.lrec-1.216/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
15. [PeerMathDial: A Middle School Dialogue Dataset for Student Collaborative Math Problem Solving](https://arxiv.org/abs/2606.21557) *— 2026 · arXiv:2606.21557*
16. [QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge](https://arxiv.org/abs/2609.22038) *— 2026 · arXiv:2609.22038 · Arabic NLP 2026*
17. [SOMA: Efficient Multi-turn LLM Serving via Small Language Model](https://arxiv.org/abs/2605.11317) *— 2026 · arXiv:2605.11317*
18. [Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue](https://aclanthology.org/2026.acl-long.1814/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations](https://aclanthology.org/2026.findings-acl.1271/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
20. [URCHIN: A Horizontal Spiking Language Model for Data-Constrained Pretraining](https://arxiv.org/abs/2609.13899) *— 2026 · arXiv:2609.13899*
21. [What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels](https://aclanthology.org/2026.acl-long.1085/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [A Comparison of Elementary Baselines for BabyLM](https://aclanthology.org/2025.babylm-main.16/) *— 2025 · Proceedings of the First BabyLM Workshop*
23. [A Distributional Perspective on Word Learning in Neural Language Models](https://aclanthology.org/2025.naacl-long.558/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
24. [A Few Shades of Supervision for Discourse Segmentation: Experiments on a French conversational corpus](https://journals.uic.edu/ojs/index.php/dad/article/view/14159) *— 2025 · Dialogue & Discourse*
25. [A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models](https://aclanthology.org/2025.findings-acl.818/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
26. [A Morpheme-Aware Child-Inspired Language Model](https://aclanthology.org/2025.babylm-main.21/) *— 2025 · Proceedings of the First BabyLM Workshop*
27. [Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries](https://aclanthology.org/2025.emnlp-main.1300/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
28. [BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop](https://arxiv.org/abs/2502.10645) *— 2025 · arXiv:2502.10645*
29. [CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions](https://aclanthology.org/2025.acl-long.394/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [DECAF: A Dynamically Extensible Corpus Analysis Framework](https://aclanthology.org/2025.acl-demo.34/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
31. [Developing Classifiers for Affirmative and Negative User Responses with Limited Target Domain Data for Dialogue System Development Tools](https://aclanthology.org/2025.iwsds-1.33/) *— 2025 · Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology*
32. [Dialogue Acts as a Lens on Human–LLM Interaction: Analyzing Conversational Norms in Model-Generated Responses](https://aclanthology.org/2025.hcinlp-1.25/) *— 2025 · Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)*
33. [Dialogue Scaffolding: Producing a Realistic Corpus of Human-Computer Open-Domain Dialogues Using a Spoken Dialogue System and ChatGPT](https://aclanthology.org/2025.sigdial-1.44/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
34. [Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech](https://aclanthology.org/2025.emnlp-main.1194/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
35. [Do LLMs Understand Dialogues? A Case Study on Dialogue Acts](https://md.research.elamur.ai/free/en/papers/qamar-2025-do-llms-understand-dialogues-case/) *— our card · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [Evaluating Spoken Language Features in Conversational Models: The Case of Disfluencies and Feedbacks](https://aclanthology.org/2025.sigdial-1.23/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
37. [Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey](https://aclanthology.org/2025.emnlp-main.1243/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
38. [Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data](https://aclanthology.org/2025.babylm-main.28/) *— 2025 · Proceedings of the First BabyLM Workshop*
39. [Implicit and Indirect: Detecting Face-threatening and Paired Actions in Asynchronous Online Conversations](https://nejlt.ep.liu.se/article/view/5980) *— 2025 · Northern European Journal of Language Technology*
40. [Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback](https://aclanthology.org/2025.emnlp-industry.140/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
41. [Influence-driven Curriculum Learning for Pre-training on Limited Data](https://aclanthology.org/2025.babylm-main.26/) *— 2025 · Proceedings of the First BabyLM Workshop*
42. [Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations](https://aclanthology.org/2025.coling-main.729/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
43. [Investigating Proactivity in Task-Oriented Dialogues](https://journals.uic.edu/ojs/index.php/dad/article/view/13603) *— 2025 · Dialogue & Discourse*
44. [LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue](https://aclanthology.org/2025.naacl-long.523/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
45. [LongTail-Swap: benchmarking language models” abilities on rare words](https://aclanthology.org/2025.findings-emnlp.601/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
46. [Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling](https://aclanthology.org/2025.babylm-main.15/) *— 2025 · Proceedings of the First BabyLM Workshop*
47. [NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery](https://aclanthology.org/2025.emnlp-main.1715/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
48. [Once Upon a Time: Interactive Learning for Storytelling with Small Language Models](https://aclanthology.org/2025.babylm-main.32/) *— 2025 · Proceedings of the First BabyLM Workshop*
49. [RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios](https://aclanthology.org/2025.babylm-main.40/) *— 2025 · Proceedings of the First BabyLM Workshop*
50. [Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models](https://md.research.elamur.ai/free/en/papers/aljanaideh-2025-speech-act-patterns-improving-generalizability/) *— our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
51. [Task Proficiency-Aware Dialogue Analysis in a Real-Time Cooking Game Environment](https://aclanthology.org/2025.sigdial-1.57/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
52. [Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction](https://aclanthology.org/2025.babylm-main.25/) *— 2025 · Proceedings of the First BabyLM Workshop*
53. [The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs](https://aclanthology.org/2025.findings-acl.1205/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
54. [Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation](https://aclanthology.org/2025.findings-emnlp.1337/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
55. [What did you say? Generating Child-Directed Speech Questions to Train LLMs](https://aclanthology.org/2025.babylm-main.18/) *— 2025 · Proceedings of the First BabyLM Workshop*
56. [BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training](https://aclanthology.org/2024.conll-babylm.28/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
57. [BIPED: Pedagogically Informed Tutoring System for ESL Education](https://arxiv.org/abs/2406.03486) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [COMICORDA: Dialogue Act Recognition in Comic Books](https://md.research.elamur.ai/free/en/papers/martinek-2024-comicorda-dialogue-act-recognition-comic/) *— our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis](https://aclanthology.org/2024.sigdial-1.38/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
60. [Decision-Oriented Dialogue for Human-AI Collaboration](https://aclanthology.org/2024.tacl-1.50/) *— 2024 · Transactions of the Association for Computational Linguistics*
61. [Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter](https://aclanthology.org/2024.emnlp-main.1122/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
62. [Different Ways to Forget: Linguistic Gates in Recurrent Neural Networks](https://aclanthology.org/2024.conll-babylm.9/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
63. [Digging Communicative Intentions: The Case of Crises Events](https://journals.uic.edu/ojs/index.php/dad/article/view/13255) *— 2024 · Dialogue & Discourse*
64. [Dual Process Masking for Dialogue Act Recognition](https://aclanthology.org/2024.findings-emnlp.895/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
65. [ELC-ParserBERT: Low-Resource Language Modeling Utilizing a Parser Network With ELC-BERT](https://aclanthology.org/2024.conll-babylm.11/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
66. [Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora](https://aclanthology.org/2024.conll-babylm.1/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
67. [Fora: A corpus and framework for the study of facilitated dialogue](https://aclanthology.org/2024.acl-long.754/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [Graphemes vs. phonemes: battling it out in character-based language models](https://aclanthology.org/2024.conll-babylm.5/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
69. [How to Do Politics with Words: Investigating Speech Acts in Parliamentary Debates](https://aclanthology.org/2024.lrec-main.727/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
70. [Intention and Face in Dialog](https://aclanthology.org/2024.lrec-main.801/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
71. [Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains](https://aclanthology.org/2024.findings-naacl.136/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
72. [Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs](https://aclanthology.org/2024.emnlp-main.53/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
73. [Modeling the Quality of Dialogical Explanations](https://aclanthology.org/2024.lrec-main.1007/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
74. [On the Evaluation of Speech Foundation Models for Spoken Language Understanding](https://aclanthology.org/2024.findings-acl.709/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
75. [Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues](https://aclanthology.org/2024.eacl-long.88/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations](https://aclanthology.org/2024.findings-naacl.196/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
77. [UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt](https://aclanthology.org/2024.lrec-main.1481/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
78. [What”s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs](https://aclanthology.org/2024.emnlp-main.52/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
79. [When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?](https://aclanthology.org/2024.conll-babylm.17/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
80. [Call for Papers The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus](https://arxiv.org/abs/2404.06214) *— 2024 · arXiv:2404.06214*
81. [“Keep up the good work!”: Using Constraints in Zero Shot Prompting to Generate Supportive Teacher Responses](https://aclanthology.org/2024.sigdial-1.11/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
82. [Automatic Dialog Flow Extraction and Guidance](https://aclanthology.org/2023.eacl-srw.12/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
83. [Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act](https://aclanthology.org/2023.findings-emnlp.492/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
84. [BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?](https://aclanthology.org/2023.conll-babylm.16/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
85. [Better Together: Jointly Using Masked Latent Semantic Modeling and Masked Language Modeling for Sample Efficient Pre-training](https://aclanthology.org/2023.conll-babylm.26/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
86. [Byte-ranked Curriculum Learning for BabyLM Strict-small Shared Task 2023](https://aclanthology.org/2023.conll-babylm.17/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
87. [Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus](https://arxiv.org/abs/2301.11796) *— 2023 · arXiv:2301.11796*
88. [Can Large Language Models Transform Computational Social Science?](https://arxiv.org/abs/2305.03514) *— 2023 · arXiv:2305.03514*
89. [ChapGTP, ILLC”s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation](https://aclanthology.org/2023.conll-babylm.6/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
90. [Comparing Styles across Languages](https://aclanthology.org/2023.emnlp-main.419/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
91. [Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues](https://aclanthology.org/2023.icon-1.30/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
92. [DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization](https://aclanthology.org/2023.acl-long.76/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora](https://aclanthology.org/2023.conll-babylm.1/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
94. [HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis](https://aclanthology.org/2023.findings-emnlp.916/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
95. [Interpreting Answers to Yes-No Questions in User-Generated Content](https://aclanthology.org/2023.findings-emnlp.942/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
96. [Interpreting Indirect Answers to Yes-No Questions in Multiple Languages](https://aclanthology.org/2023.findings-emnlp.146/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
97. [Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings](https://aclanthology.org/2023.conll-babylm.19/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
98. [Multilingual Coreference Resolution in Multiparty Dialogue](https://aclanthology.org/2023.tacl-1.52/) *— 2023*
99. [Not all layers are equally as important: Every Layer Counts BERT](https://aclanthology.org/2023.conll-babylm.20/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
100. [RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data](https://aclanthology.org/2023.emnlp-main.357/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/cited-by/page/4/)