Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types

Author:

Yu YaoyaoORCID,Qiu YihuiORCID

Publisher

Springer Nature Singapore

Reference20 articles.

1. Aletras, N., Tsarapatsanis, D., Preotiuc-Pietro, D., Lampos, V.: Predicting judicial decisions of the European court of human rights: a natural language processing perspective. PeerJ Comput. Sci. 2, e93 (2016)

2. Bao, Q., Zan, H., Gong, P., Chen, J., Xiao, Y.: Charge prediction with legal attention. In: Natural Language Processing and Chinese Computing: 8th CCF International Conference. NLPCC 2019, pp. 447–458. Dunhuang, China (2019)

3. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, pp. 4171–4186. Minneapolis, MN, USA (2019)

4. Feng, Y., Li, C., Ng, V.: Legal judgment prediction via event extraction with constraints. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, pp. 648–664. Dublin, Ireland (2022)

5. Hu, Z., Li, X., Tu, C., Liu, Z., Sun, M.: Few-shot charge prediction with discriminative legal attributes. In: Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, pp. 487–498 (2018)

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