Papers by Xiaoxiao Shi

1 papers
ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes (2024.lrec-main)

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Challenge: Emotion Recognition in Conversation (ERC) aims to analyze the speaker’s emotional state in a conversation.
Approach: They propose to combine a directed acyclic graph and contextual prefixes to model historical utterances in a conversation and incorporate a contextual prefixed containing sentiment and semantics of historical .
Outcome: The proposed model achieves state-of-the-art (SOTA) performance on several public benchmarks.

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