Papers with hypergraph attention document semantic entity recognition framework

1 papers
Hypergraph based Understanding for Document Semantic Entity Recognition (2024.acl-long)

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Challenge: Existing document understanding models focus on entity categories while ignoring the extraction of entity boundaries.
Approach: They propose a hypergraph attention document semantic entity recognition framework which uses hypergraph focus to focus on entity boundaries and entity categories at the same time.
Outcome: The proposed framework can improve the performance of existing models on FUNSD, CORD, XFUND and SROIE.

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