Conversation disentanglement with bi-level contrastive learning

Conversation disentanglement aims to group utterances into detached sessions, which is a fundamental task in processing multi-party conversations. Existing methods have two main drawbacks. First, they overemphasize pairwise utterance relations but pay inadequate attention to the utterance-to-context...

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Bibliographic Details
Main Authors: HUANG, Chengyu, ZHANG, Zheng, FEI, Hao, LIAO, Lizi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7585
https://ink.library.smu.edu.sg/context/sis_research/article/8588/viewcontent/2210.15265.pdf
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Institution: Singapore Management University
Language: English

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