StyleBERT: Chinese pretraining by font style information

StyleBERT: Chinese pretraining by font style information

With the success of down streaming task using English pre-trained language model, the pre-trained Chinese language model is also necessary to get a better performance of Chinese NLP task. Unlike the English language, Chinese has its special characters such as glyph information. So in this article, w...

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Veröffentlicht in:arXiv.org 2022-02
Hauptverfasser: Lv, Chao, Zhang, Han, Du, XinKai, Zhang, Yunhao, Huang, Ying, Li, Wenhao, Han, Jia, Gu, Shanshan
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creator Lv, Chao
Zhang, Han
Du, XinKai
Zhang, Yunhao
Huang, Ying
Li, Wenhao
Han, Jia
Gu, Shanshan
description With the success of down streaming task using English pre-trained language model, the pre-trained Chinese language model is also necessary to get a better performance of Chinese NLP task. Unlike the English language, Chinese has its special characters such as glyph information. So in this article, we propose the Chinese pre-trained language model StyleBERT which incorporate the following embedding information to enhance the savvy of language model, such as word, pinyin, five stroke and chaizi. The experiments show that the model achieves well performances on a wide range of Chinese NLP tasks.
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title StyleBERT: Chinese pretraining by font style information
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