Papers by Chengjie Zhou

1 papers
Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing (2024.acl-long)

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Challenge: Structured Sentiment Analysis (SSA) is a problem of bi-lexical dependency graph parsing due to the internal structures of spans neglected.
Approach: They propose to use latent spans as latent subtrees to model internal structures of spans and leverage TreeCRFs to extract the complete opinion tuple from a sentence.
Outcome: The proposed method performs significantly better than all previous bi-lexical methods, achieving new state-of-the-art.

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