Citation-Based Summarization of Landmark Judgments
Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar, Parikshet Sirohi, Ashwini Siwal
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:
- Jyoti D. Pawar, Sobha Lalitha Devi
- 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):
- Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar, Parikshet Sirohi, and Ashwini Siwal. 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 (Bindal et al., ICON 2023)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/2023.icon-1.56.pdf