A Large-Scale Corpus for Conversation Disentanglement-Reference-Cited by-同舟云学术

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A Large-Scale Corpus for Conversation Disentanglement

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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Author:

Kummerfeld Jonathan K.,Gouravajhala Sai R.,Peper Joseph J.,Athreya Vignesh,Gunasekara Chulaka,Ganhotra Jatin,Patel Siva Sankalp,Polymenakos Lazaros C,Lasecki Walter

Publisher

Association for Computational Linguistics

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unraveling the thread: understanding and addressing sequential failures in human-robot interaction;Frontiers in Robotics and AI;2024-09-12

2. Toward an end-to-end implicit addressee modeling for dialogue disentanglement;Multimedia Tools and Applications;2024-02-06

3. What are Pros and Cons? Stance Detection and Summarization on Feature Request;2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2023-10-26

4. CluCDD: Contrastive Dialogue Disentanglement Via Clustering;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

5. End-to-end dialogue structure parsing on multi-floor dialogue based on multi-task learning;Frontiers in Robotics and AI;2023-05-03

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