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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2022.inlg-main.7.pdf
Software:
 2022.inlg-main.7.software.zip