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Pre-Training with Whole Word Masking for Chinese BERT
[article]
2019
arXiv
pre-print
Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks. Recently, an upgraded version of BERT has been released with Whole Word Masking (WWM), which mitigate the drawbacks of masking partial WordPiece tokens in pre-training BERT. In this technical report, we adapt whole word masking in Chinese text, that masking the whole word instead of masking Chinese characters, which could bring another challenge in Masked Language Model
arXiv:1906.08101v2
fatcat:ikghqulquzeklbwaxbpelri3n4