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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/2022.lrec-1.508.pdf
- Code
- manavkapadnis/legalevaluation_lrec2022