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| How does NLP benefit legal system: A summary of legal artificial intelligence H Zhong, C Xiao, C Tu, T Zhang, Z Liu, M Sun arXiv preprint arXiv:2004.12158, 2020 | 287 | 2020 |
| A hierarchical framework for relation extraction with reinforcement learning R Takanobu, T Zhang, J Liu, M Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 7072-7079, 2019 | 231 | 2019 |
| Learning structured representation for text classification via reinforcement learning T Zhang, M Huang, L Zhao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 183 | 2018 |
| JEC-QA: a legal-domain question answering dataset H Zhong, C Xiao, C Tu, T Zhang, Z Liu, M Sun Proceedings of the AAAI conference on artificial intelligence 34 (05), 9701-9708, 2020 | 103 | 2020 |
| Iteratively questioning and answering for interpretable legal judgment prediction H Zhong, Y Wang, C Tu, T Zhang, Z Liu, M Sun Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1250-1257, 2020 | 102 | 2020 |
| Cail2019-scm: A dataset of similar case matching in legal domain C Xiao, H Zhong, Z Guo, C Tu, Z Liu, M Sun, T Zhang, X Han, Z Hu, ... arXiv preprint arXiv:1911.08962, 2019 | 63 | 2019 |
| Equality before the law: legal judgment consistency analysis for fairness Y Wang, C Xiao, S Ma, H Zhong, C Tu, T Zhang, Z Liu, M Sun arXiv preprint arXiv:2103.13868, 2021 | 17 | 2021 |
