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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

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  1. Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus — our card · 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
  2. Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation — 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 — 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 — 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 — 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 — 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 — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  8. Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue — 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 — 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 — 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 — 2025 · Proceedings of the First BabyLM Workshop
  12. A Distributional Perspective on Word Learning in Neural Language Models — 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 — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  14. A Morpheme-Aware Child-Inspired Language Model — 2025 · Proceedings of the First BabyLM Workshop
  15. BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop — 2025 · arXiv:2502.10645
  16. Dialogue Acts as a Lens on Human–LLM Interaction: Analyzing Conversational Norms in Model-Generated Responses — 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 — 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 — 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 — 2025 · Proceedings of the First BabyLM Workshop
  20. Influence-driven Curriculum Learning for Pre-training on Limited Data — 2025 · Proceedings of the First BabyLM Workshop
  21. Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  22. Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling — 2025 · Proceedings of the First BabyLM Workshop
  23. Once Upon a Time: Interactive Learning for Storytelling with Small Language Models — 2025 · Proceedings of the First BabyLM Workshop
  24. RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios — 2025 · Proceedings of the First BabyLM Workshop
  25. Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models — 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 — 2025 · Proceedings of the First BabyLM Workshop
  27. What did you say? Generating Child-Directed Speech Questions to Train LLMs — 2025 · Proceedings of the First BabyLM Workshop
  28. BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
  29. BIPED: Pedagogically Informed Tutoring System for ESL Education — 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 — 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 — 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  32. Decision-Oriented Dialogue for Human-AI Collaboration — 2024 · Transactions of the Association for Computational Linguistics
  33. Different Ways to Forget: Linguistic Gates in Recurrent Neural Networks — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
  34. Dual Process Masking for Dialogue Act Recognition — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  35. ELC-ParserBERT: Low-Resource Language Modeling Utilizing a Parser Network With ELC-BERT — 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 — 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 — 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 — 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 — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  41. Modeling the Quality of Dialogical Explanations — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  43. Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues — 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 — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  45. UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt — 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 — 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? — 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 — 2024 · arXiv:2404.06214
  49. Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  50. BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? — 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 — 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 — 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 — 2023 · arXiv:2301.11796
  54. Can Large Language Models Transform Computational Social Science? — 2023 · arXiv:2305.03514
  55. ChapGTP, ILLC''s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
  56. Comparing Styles across Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  57. Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
  58. DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  61. Interpreting Indirect Answers to Yes-No Questions in Multiple Languages — 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 — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
  63. Multilingual Coreference Resolution in Multiparty Dialogue — 2023
  64. Not all layers are equally as important: Every Layer Counts BERT — 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 — 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 — 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 — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
  68. A Brief Survey of Textual Dialogue Corpora — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  69. A Corpus of Simulated Counselling Sessions with Dialog Act Annotation — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  71. A Universality-Individuality Integration Model for Dialog Act Classification — 2022 · arXiv:2204.06185
  72. A neural prosody encoder for end-ro-end dialogue act classification — 2022 · arXiv:2205.05590
  73. Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration — 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  74. EZCAT: an Easy Conversation Annotation Tool — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  75. FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows — 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 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  77. Improving Dialogue Act Recognition with Augmented Data — 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 — 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 — 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 — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  82. Speech acts and Communicative Intentions for Urgency Detection — 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 — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  85. Code-switched inspired losses for spoken dialog representations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  86. Human-like informative conversations: Better acknowledgements using conditional mutual information — 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 — 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 — 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 — 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 — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  91. Speaker Turn Modeling for Dialogue Act Classification — 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 — 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 — 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 — 2021
  95. What Would a Teacher Do? Predicting Future Talk Moves — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  96. A Taxonomy of Empathetic Response Intents in Human Social Conversations — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  97. Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  98. Comparative Study of Sentence Embeddings for Contextual Paraphrasing — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  99. Contextual Dialogue Act Classification for Open-Domain Conversational Agents — 2020 · arXiv:2005.13804
  100. EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference

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