Papers with predicting entity labels

1 papers
Hero-Gang Neural Model For Named Entity Recognition (2022.naacl-main)

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Challenge: Named entity recognition (NER) is a fundamental and important task in natural language processing.
Approach: They propose a novel Hero-Gang Neural structure to leverage both global and local information to promote NER by using a Transformer-based encoder and a Gang module.
Outcome: The proposed model can extract local features and position information from the Hero and Gang modules, and it performs on multiple datasets.

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