Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions

Hai Ye, Xin Jiang, Zhunchen Luo, WenHan Chao. Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions. In Marilyn A. Walker, Heng Ji, Amanda Stent, editors, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers). pages 1854-1864, Association for Computational Linguistics, 2018. [doi]

@inproceedings{YeJLC18,
  title = {Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions},
  author = {Hai Ye and Xin Jiang and Zhunchen Luo and WenHan Chao},
  year = {2018},
  url = {https://aclanthology.info/papers/N18-1168/n18-1168},
  researchr = {https://researchr.org/publication/YeJLC18},
  cites = {0},
  citedby = {0},
  pages = {1854-1864},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers)},
  editor = {Marilyn A. Walker and Heng Ji and Amanda Stent},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-27-8},
}