Self-supervised utterance order prediction for emotion recognition in conversations
As the order of the utterances in a conversation changes, the meaning of the utterance also changes, and sometimes, this will cause different semantics or emotions. However, the existing representation learning models do not pay close attention to capturing the internal semantic differences of utter...
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Main Authors: | Jiang, Dazhi, Liu, Hao, Tu, Geng, Wei, Runguo, Cambria, Erik |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175849 |
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Institution: | Nanyang Technological University |
Language: | English |
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