Papers by Jingrong Feng

1 papers
A Unified MRC Framework for Named Entity Recognition (2020.acl-main)

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Challenge: Named entity recognition is divided into nested NER and flat NER depending on whether entities are nesting.
Approach: They propose to formulate named entity recognition task as machine reading comprehension task instead of sequence labeling problem .
Outcome: The proposed framework achieves vast amount of performance boost over current models on nested and flat NER datasets.

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