Papers with Structured Sentiment Analysis

2 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.
USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis (2023.acl-long)

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Challenge: Structured Sentiment Analysis (SSA) is a problem of bi-lexical dependency parsing . previous studies have cast it as a bottleneck because of overlap and discontinuity issues .
Approach: They propose a bi-lexical dependency parsing graph and a table-filling scheme that addresses overlap and discontinuity issues.
Outcome: The proposed framework outperforms state-of-the-art methods on benchmark datasets.

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