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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Main Authors: | HUANG, Chengyu, ZHANG, Zheng, FEI, Hao, LIAO, Lizi |
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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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