Papers with S2abEL

1 papers
S2abEL: A Dataset for Entity Linking from Scientific Tables (2023.emnlp-main)

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Challenge: Entity linking (EL) is a longstanding problem in natural language processing and information extraction.
Approach: They propose a neural baseline method for EL on scientific tables containing many out-of-knowledge-base mentions and a method that significantly outperforms a generic table EL method.
Outcome: The proposed method significantly outperforms state-of-the-art generic table EL method on scientific tables with many out-of knowledge-base mentions.

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