Papers by Daniel Fu

1 papers
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval (2022.findings-acl)

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Challenge: Existing methods for entity retrieval use mention boundaries but unstructured text . state-of-the-art methods struggle to retrieve rare entities for ambiguous mentions .
Approach: They propose a method to jointly train bi-encoders on knowledge graph types and unstructured text for entity retrieval for open-domain tasks.
Outcome: The proposed method improves retrieval of rare entities on Ambiguous Entity Retrieval sets while maintaining strong overall retrieval performance on open-domain tasks.

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