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

A First Step towards Dialog Simulation with Grounded Dialog Graphs — 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)
Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus — our card · 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
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
Does Episodic Memory Help Close the Lexical Frequency Gap in Sensitivity to Syntactic Contrasts? A Test Using Retrieval-Augmented Language Models — 2026 · arXiv:2608.23851
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
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
Interpretable Satisfaction Modeling in Sales Dialogues: A Metrics-based Approach Validated Against Text-based Model — 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Investigating Proactivity in Multimodal Task-Guidance Dialogues — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
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)
MECH: A Cost-Effective Multi-Task Cascade Framework for Classroom Opinion Evolution Recognition — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects — 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)
PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
PeerMathDial: A Middle School Dialogue Dataset for Student Collaborative Math Problem Solving — 2026 · arXiv:2606.21557
QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge — 2026 · arXiv:2609.22038 · Arabic NLP 2026
SOMA: Efficient Multi-turn LLM Serving via Small Language Model — 2026 · arXiv:2605.11317
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)
Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
URCHIN: A Horizontal Spiking Language Model for Data-Constrained Pretraining — 2026 · arXiv:2609.13899
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)
A Comparison of Elementary Baselines for BabyLM — 2025 · Proceedings of the First BabyLM Workshop
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)
A Few Shades of Supervision for Discourse Segmentation: Experiments on a French conversational corpus — 2025 · Dialogue & Discourse
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
A Morpheme-Aware Child-Inspired Language Model — 2025 · Proceedings of the First BabyLM Workshop
Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop — 2025 · arXiv:2502.10645
CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
DECAF: A Dynamically Extensible Corpus Analysis Framework — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Developing Classifiers for Affirmative and Negative User Responses with Limited Target Domain Data for Dialogue System Development Tools — 2025 · Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology
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)
Dialogue Scaffolding: Producing a Realistic Corpus of Human-Computer Open-Domain Dialogues Using a Spoken Dialogue System and ChatGPT — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Discourse-Driven Code-Switching: Analyzing the Role of Content and Communicative Function in Spanish-English Bilingual Speech — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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)
Evaluating Spoken Language Features in Conversational Models: The Case of Disfluencies and Feedbacks — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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
Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data — 2025 · Proceedings of the First BabyLM Workshop
Implicit and Indirect: Detecting Face-threatening and Paired Actions in Asynchronous Online Conversations — 2025 · Northern European Journal of Language Technology
Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
Influence-driven Curriculum Learning for Pre-training on Limited Data — 2025 · Proceedings of the First BabyLM Workshop
Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Investigating Proactivity in Task-Oriented Dialogues — 2025 · Dialogue & Discourse
LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue — 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)
LongTail-Swap: benchmarking language models'' abilities on rare words — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling — 2025 · Proceedings of the First BabyLM Workshop
NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Once Upon a Time: Interactive Learning for Storytelling with Small Language Models — 2025 · Proceedings of the First BabyLM Workshop
RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios — 2025 · Proceedings of the First BabyLM Workshop
Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models — our card · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Task Proficiency-Aware Dialogue Analysis in a Real-Time Cooking Game Environment — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction — 2025 · Proceedings of the First BabyLM Workshop
The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
What did you say? Generating Child-Directed Speech Questions to Train LLMs — 2025 · Proceedings of the First BabyLM Workshop
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
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)
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)
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
Decision-Oriented Dialogue for Human-AI Collaboration — 2024 · Transactions of the Association for Computational Linguistics
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Different Ways to Forget: Linguistic Gates in Recurrent Neural Networks — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
Digging Communicative Intentions: The Case of Crises Events — 2024 · Dialogue & Discourse
Dual Process Masking for Dialogue Act Recognition — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
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
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
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)
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
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)
Intention and Face in Dialog — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
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
Modeling the Quality of Dialogical Explanations — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
On the Evaluation of Speech Foundation Models for Spoken Language Understanding — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
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)
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
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)
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
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
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus — 2024 · arXiv:2404.06214
``Keep up the good work!'''': Using Constraints in Zero Shot Prompting to Generate Supportive Teacher Responses — 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Automatic Dialog Flow Extraction and Guidance — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
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
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
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
Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus — 2023 · arXiv:2301.11796
Can Large Language Models Transform Computational Social Science? — 2023 · arXiv:2305.03514
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
Comparing Styles across Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
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)
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
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Interpreting Answers to Yes-No Questions in User-Generated Content — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
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
Multilingual Coreference Resolution in Multiparty Dialogue — 2023
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
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing