Glyce: Glyph-vectors for Chinese Character Representations

NeurIPS 2019 Yuxian MengWei WuFei WangXiaoya LiPing NieFan YinMuyu LiQinghong HanYuxian MengJiwei Li

It is intuitive that NLP tasks for logographic languages like Chinese should benefit from the use of the glyph information in those languages. However, due to the lack of rich pictographic evidence in glyphs and the weak generalization ability of standard computer vision models on character data, an effective way to utilize the glyph information remains to be found... (read more)

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