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Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

Authors: Abhay Shukla; Paheli Bhattacharya; Soham Poddar; Rajdeep Mukherjee; Kripabandhu Ghosh; Pawan Goyal; Saptarshi Ghosh;

Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

Abstract

This repository contains the following 3 datasets for legal document summarization : - IN-Abs : Indian Supreme Court case documents & their `abstractive' summaries, obtained from http://www.liiofindia.org/in/cases/cen/INSC/ - IN-Ext : Indian Supreme Court case documents & their `extractive' summaries, written by two law experts (A1, A2). - UK-Abs : United Kingdom (U.K.) Supreme Court case documents & their `abstractive' summaries, obtained from https://www.supremecourt.uk/decided-cases/ Please refer to the paper and the README file for more details.

Keywords

legal document summarization, summarization, long document summarization, legal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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