Citation-Based Summarization of Landmark Judgments
Bindal Purnima, Kumar Vikas, Bhatnagar Vasudha, Sirohi Parikshet, Siwal Ashwini
Abstract
Landmark judgments are of prime importance in the Common Law System because of their exceptional jurisprudence and frequent references in other judgments. In this work, we leverage contextual references available in citing judgments to create an extractive summary of the target judgment. We evaluate the proposed algorithm on two datasets curated from the judgments of Indian Courts and find the results promising.- Anthology ID:
- 2023.icon-1.56
- Volume:
- Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- Month:
- December
- Year:
- 2023
- Address:
- Goa University, Goa, India
- Editors:
- D. Pawar Jyoti, Lalitha Devi Sobha
- Venue:
- ICON
- SIG:
- SIGLEX
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 588–593
- Language:
- URL:
- https://aclanthology.org/2023.icon-1.56
- DOI:
- Cite (ACL):
- Bindal Purnima, Kumar Vikas, Bhatnagar Vasudha, Sirohi Parikshet, and Siwal Ashwini. 2023. Citation-Based Summarization of Landmark Judgments. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 588–593, Goa University, Goa, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Citation-Based Summarization of Landmark Judgments (Purnima et al., ICON 2023)
- PDF:
- https://preview.aclanthology.org/fix-volume-bibkeys/2023.icon-1.56.pdf