Glyce: Glyph-vectors for Chinese Character Representations
arXiv: Computation and Language, 2019.
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 info...More
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