A Comparison Study of Pre-trained Language Models for Chinese Legal Document Classification

Author:

Qin Ruyu1,Huang Min1,Luo Yutong2

Affiliation:

1. University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China

2. No.2 High School of East China Normal University,Shanghai,China

Publisher

IEEE

Reference50 articles.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;devlin;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers),2019

2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention;xu;Proceedings of The 32nd International Conference on Machine Learning,2015

3. A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases

4. Support-vector networks

5. Term-weighting approaches in automatic text retrieval

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