Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

ACL 2020 Yanzeng LiBowen YuMengge XueTingwen Liu

Most Chinese pre-trained models take character as the basic unit and learn representation according to character's external contexts, ignoring the semantics expressed in the word, which is the smallest meaningful utterance in Chinese. Hence, we propose a novel word-aligned attention to exploit explicit word information, which is complementary to various character-based Chinese pre-trained language models... (read more)

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