Web: http://arxiv.org/abs/2208.10844

Sept. 16, 2022, 1:16 a.m. | Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu

cs.CL updates on arXiv.org arxiv.org

Pre-trained Language Models (PLMs) have achieved remarkable performance gains
across numerous downstream tasks in natural language understanding. Various
Chinese PLMs have been successively proposed for learning better Chinese
language representation. However, most current models use Chinese characters as
inputs and are not able to encode semantic information contained in Chinese
words. While recent pre-trained models incorporate both words and characters
simultaneously, they usually suffer from deficient semantic interactions and
fail to capture the semantic relation between words and characters. To …

arxiv language language model

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