Papers by Qinrong Yang

1 papers
Entity Enhanced BERT Pre-training for Chinese NER (2020.emnlp-main)

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Challenge: Character-level BERT pre-trained in Chinese suffers from lacking lexicon information, which shows effectiveness for Chinese NER.
Approach: They propose a semi-supervised method to integrate lexicon into pre-trained LMs in Chinese . they extract an entity lexiconal from raw text and integrate it into BERT .
Outcome: The proposed method is highly effective and achieves the best results on a news dataset and two datasets annotated by the authors.

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