An Evaluation Framework for Legal Document Summarization

Ankan Mullick, Abhilash Nandy, Manav Kapadnis, Sohan Patnaik, Raghav R, Roshni Kar


Abstract
A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc. Hence, it is important to summarize these documents, and ensure that summaries contain phrases with intent matching the category of the case. To the best of our knowledge, there is no evaluation metric that evaluates a summary based on its intent. We propose an automated intent-based summarization metric, which shows a better agreement with human evaluation as compared to other automated metrics like BLEU, ROUGE-L etc. in terms of human satisfaction. We also curate a dataset by annotating intent phrases in legal documents, and show a proof of concept as to how this system can be automated.
Anthology ID:
2022.lrec-1.508
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4747–4753
Language:
URL:
https://aclanthology.org/2022.lrec-1.508
DOI:
Bibkey:
Cite (ACL):
Ankan Mullick, Abhilash Nandy, Manav Kapadnis, Sohan Patnaik, Raghav R, and Roshni Kar. 2022. An Evaluation Framework for Legal Document Summarization. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4747–4753, Marseille, France. European Language Resources Association.
Cite (Informal):
An Evaluation Framework for Legal Document Summarization (Mullick et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.508.pdf
Code
 manavkapadnis/legalevaluation_lrec2022