---
title: "Who cites Speaker Turn Modeling for Dialogue Act…"
description: "The papers of the Elamur Research library that cite «Speaker Turn Modeling for Dialogue Act Classification», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Speaker Turn Modeling for Dialogue Act…](https://md.research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/) / cited by

# Who cites «Speaker Turn Modeling for Dialogue Act Classification»

12 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/he-2021-speaker-turn-modeling-dialogue-act/)

1. [Act2P: LLM-Driven Online Dialogue Act Classification for Power Analysis](https://aclanthology.org/2025.findings-acl.1052/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
2. [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*
3. [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)*
4. [MultiCAT: Multimodal Communication Annotations for Teams](https://aclanthology.org/2025.findings-naacl.61/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
5. [Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks](https://aclanthology.org/2024.naacl-long.407/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
6. [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)*
7. [Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling](https://aclanthology.org/2024.eacl-demo.24/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
8. [Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning](https://aclanthology.org/2023.findings-emnlp.1006/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
9. [NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data](https://aclanthology.org/2023.argmining-1.25/) *— 2023 · Proceedings of the 10th Workshop on Argument Mining*
10. [Reducing Sensitivity on Speaker Names for Text Generation from Dialogues](https://aclanthology.org/2023.findings-acl.129/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
11. [Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification](https://aclanthology.org/2023.findings-emnlp.678/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
12. [Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis](https://aclanthology.org/2022.emnlp-main.505/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*