Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description
Nicolas Garneau, Eve Gaumond, Luc Lamontagne, Pierre-Luc Déziel
- Anthology ID:
- 2022.inlg-main.7
- Volume:
- Proceedings of the 15th International Conference on Natural Language Generation
- Month:
- July
- Year:
- 2022
- Address:
- Waterville, Maine, USA and virtual meeting
- Editors:
- Samira Shaikh, Thiago Ferreira, Amanda Stent
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 73–99
- Language:
- URL:
- https://aclanthology.org/2022.inlg-main.7
- DOI:
- 10.18653/v1/2022.inlg-main.7
- Cite (ACL):
- Nicolas Garneau, Eve Gaumond, Luc Lamontagne, and Pierre-Luc Déziel. 2022. Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description. In Proceedings of the 15th International Conference on Natural Language Generation, pages 73–99, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.
- Cite (Informal):
- Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description (Garneau et al., INLG 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2022.inlg-main.7.pdf