BED: Chinese Word Segmentation Model Based on Boundary-Enhanced Decoder

Author:

Xu Shiting1ORCID

Affiliation:

1. Shandong University of Political Science and Law, China

Publisher

ACM

Reference20 articles.

1. Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, and Yunhai Tong. 2021. Syntax-BERT: Improving pre-trained transformers with syntax trees. arXiv preprint arXiv:2103.04350 (2021).

2. Long Short-Term Memory Neural Networks for Chinese Word Segmentation

3. Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020. Electra: Pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555 (2020).

4. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

5. Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019. Unified language model pre-training for natural language understanding and generation. Advances in Neural Information Processing Systems 32 (2019).

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