Citation-Based Summarization of Landmark Judgments
Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar, Parikshet Sirohi,, Ashwini Siwal

TL;DR
This paper introduces a citation-based extractive summarization method for landmark judgments, leveraging references in citing judgments to generate concise summaries, with promising results on Indian court datasets.
Contribution
It presents a novel citation-based approach for summarizing landmark judgments, focusing on leveraging contextual references in citing documents.
Findings
Promising summarization results on Indian court judgments
Effective use of citation context for extractive summarization
Potential for improving legal document summarization
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.
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Taxonomy
TopicsAdvanced Text Analysis Techniques · Topic Modeling · Natural Language Processing Techniques
