Citation-Based Summarization of Landmark Judgments
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 20 references that are in the map. First posted on arXiv 16 Jun 2024.
Builds on
6 of 20 references.
References · 6
- 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in Englishcited by 310
- 2021When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Datasetcited by 201
- 2022Named Entity Recognition in Indian court judgmentscited by 26
- 2021Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documentscited by 23
- 2021LawSum: A weakly supervised approach for Indian Legal Document Summarizationcited by 6
- 2022Indian Legal Text Summarization: A Text Normalisation-based Approachcited by 2
Built on by
Citing papers per year: 2025: 2.
2 papers.