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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.mova.elamur.ai/free/en/docs/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/)

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

1. [Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus](https://md.mova.elamur.ai/free/en/docs/papers/chen-2026-completing-validating-re-aligned-switchboard/) *— our card · 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)*
2. [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*
3. [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*
4. [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*
5. [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)*
6. [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)*
7. [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*
8. [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)*
9. [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*
10. [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)*
11. [A Comparison of Elementary Baselines for BabyLM](https://aclanthology.org/2025.babylm-main.16/) *— 2025 · Proceedings of the First BabyLM Workshop*
12. [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)*
13. [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*
14. [A Morpheme-Aware Child-Inspired Language Model](https://aclanthology.org/2025.babylm-main.21/) *— 2025 · Proceedings of the First BabyLM Workshop*
15. [BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop](https://arxiv.org/abs/2502.10645) *— 2025 · arXiv:2502.10645*
16. [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)*
17. [Do LLMs Understand Dialogues? A Case Study on Dialogue Acts](https://md.mova.elamur.ai/free/en/docs/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)*
18. [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*
19. [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*
20. [Influence-driven Curriculum Learning for Pre-training on Limited Data](https://aclanthology.org/2025.babylm-main.26/) *— 2025 · Proceedings of the First BabyLM Workshop*
21. [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*
22. [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*
23. [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*
24. [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*
25. [Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models](https://md.mova.elamur.ai/free/en/docs/papers/aljanaideh-2025-speech-act-patterns-improving-generalizability/) *— our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
26. [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*
27. [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*
28. [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*
29. [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)*
30. [COMICORDA: Dialogue Act Recognition in Comic Books](https://md.mova.elamur.ai/free/en/docs/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)*
31. [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*
32. [Decision-Oriented Dialogue for Human-AI Collaboration](https://aclanthology.org/2024.tacl-1.50/) *— 2024 · Transactions of the Association for Computational Linguistics*
33. [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*
34. [Dual Process Masking for Dialogue Act Recognition](https://aclanthology.org/2024.findings-emnlp.895/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
35. [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*
36. [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*
37. [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)*
38. [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*
39. [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)*
40. [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*
41. [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)*
42. [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*
43. [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)*
44. [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*
45. [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)*
46. [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*
47. [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*
48. [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*
49. [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*
50. [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*
51. [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*
52. [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*
53. [Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus](https://arxiv.org/abs/2301.11796) *— 2023 · arXiv:2301.11796*
54. [Can Large Language Models Transform Computational Social Science?](https://arxiv.org/abs/2305.03514) *— 2023 · arXiv:2305.03514*
55. [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*
56. [Comparing Styles across Languages](https://aclanthology.org/2023.emnlp-main.419/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
57. [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)*
58. [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)*
59. [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*
60. [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*
61. [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*
62. [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*
63. [Multilingual Coreference Resolution in Multiparty Dialogue](https://aclanthology.org/2023.tacl-1.52/) *— 2023*
64. [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*
65. [Study on the Domain Adaption of Korean Speech Act using Daily Conversation Dataset and Petition Corpus](https://aclanthology.org/2023.nlp4dh-1.26/) *— 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages*
66. [The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems](https://aclanthology.org/2023.sigdial-1.45/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
67. [Tiny Language Models Enriched with Multimodal Knowledge from Multiplex Networks](https://aclanthology.org/2023.conll-babylm.3/) *— 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning*
68. [A Brief Survey of Textual Dialogue Corpora](https://aclanthology.org/2022.lrec-1.135/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
69. [A Corpus of Simulated Counselling Sessions with Dialog Act Annotation](https://aclanthology.org/2022.lrec-1.615/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
70. [A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging](https://aclanthology.org/2022.coling-1.45/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
71. [A Universality-Individuality Integration Model for Dialog Act Classification](https://arxiv.org/abs/2204.06185) *— 2022 · arXiv:2204.06185*
72. [A neural prosody encoder for end-ro-end dialogue act classification](https://arxiv.org/abs/2205.05590) *— 2022 · arXiv:2205.05590*
73. [Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration](https://aclanthology.org/2022.sigdial-1.18/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
74. [EZCAT: an Easy Conversation Annotation Tool](https://aclanthology.org/2022.lrec-1.190/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
75. [FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows](https://aclanthology.org/2022.emnlp-main.715/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
76. [Give me your Intentions, I''ll Predict our Actions: A Two-level Classification of Speech Acts for Crisis Management in Social Media](https://aclanthology.org/2022.lrec-1.462/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
77. [Improving Dialogue Act Recognition with Augmented Data](https://aclanthology.org/2022.gem-1.44/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
78. [Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification](https://aclanthology.org/2022.aacl-main.71/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
79. [Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent](https://aclanthology.org/2022.sigdial-1.37/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
80. [SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding](https://aclanthology.org/2022.coling-1.46/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
81. [Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision](https://aclanthology.org/2022.coling-1.61/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
82. [Speech acts and Communicative Intentions for Urgency Detection](https://aclanthology.org/2022.starsem-1.25/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
83. [The TalkMoves Dataset: K-12 Mathematics Lesson Transcripts Annotated for Teacher and Student Discursive Moves](https://arxiv.org/abs/2204.09652) *— 2022 · Proceedings of the Language Resources and Evaluation Conference*
84. [``Mama Always Had a Way of Explaining Things So I Could Understand'''': A Dialogue Corpus for Learning to Construct Explanations](https://aclanthology.org/2022.coling-1.27/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
85. [Code-switched inspired losses for spoken dialog representations](https://aclanthology.org/2021.emnlp-main.656/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
86. [Human-like informative conversations: Better acknowledgements using conditional mutual information](https://aclanthology.org/2021.naacl-main.61/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
87. [Improve Chit-Chat and QA Sentence Classification in User Messages of Dialogue System using Dialogue Act Embedding](https://aclanthology.org/2021.rocling-1.19/) *— 2021 · Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)*
88. [Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning](https://md.mova.elamur.ai/free/en/docs/papers/noble-2021-large-scale-text-pre-training/) *— our card · 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
89. [MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations](https://md.mova.elamur.ai/free/en/docs/papers/yu-2021-midas-dialog-act-annotation-scheme/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
90. [Rare-Class Dialogue Act Tagging for Alzheimer's Disease Diagnosis](https://aclanthology.org/2021.sigdial-1.32/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
91. [Speaker Turn Modeling for Dialogue Act Classification](https://md.mova.elamur.ai/free/en/docs/papers/he-2021-speaker-turn-modeling-dialogue-act/) *— our card · 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
92. [Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter](https://aclanthology.org/2021.naacl-main.456/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
93. [Utterance Position-Aware Dialogue Act Recognition](https://aclanthology.org/2021.ranlp-1.176/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
94. [What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition](https://aclanthology.org/2021.tacl-1.69/) *— 2021*
95. [What Would a Teacher Do? Predicting Future Talk Moves](https://aclanthology.org/2021.findings-acl.418/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
96. [A Taxonomy of Empathetic Response Intents in Human Social Conversations](https://aclanthology.org/2020.coling-main.429/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
97. [Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization](https://aclanthology.org/2020.lrec-1.74/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
98. [Comparative Study of Sentence Embeddings for Contextual Paraphrasing](https://aclanthology.org/2020.lrec-1.845/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
99. [Contextual Dialogue Act Classification for Open-Domain Conversational Agents](https://arxiv.org/abs/2005.13804) *— 2020 · arXiv:2005.13804*
100. [EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators](https://aclanthology.org/2020.lrec-1.78/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*

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