Papers with building entity tagging systems

1 papers
Weakly Supervised Named Entity Tagging with Learnable Logical Rules (2021.acl-long)

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Challenge: Existing methods for building entity tagging systems use weak supervision . previous methods focus on disambiguating entity types based on contexts and expert-provided rules .
Approach: They propose a method that bootstraps high-quality logical rules to train a neural tagger in a fully automated manner.
Outcome: The proposed method outperforms weakly supervised methods on three datasets . it rivals state-of-the-art supervised method with lexicon of over 2,000 terms .

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