Implementation of different summarization algorithms applied to legal case judgements.

This repository contains the implementations and reproductions of various summarization algorithms applied to legal case documents, and the codebase for the paper :

A Comparative Study of Summarization Algorithms applied to Legal Case Judgments

Authors : Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh and Saptarshi Ghosh

Accepted at the 41st European Conference on Information Retrieval (ECIR), 2019.

This paper focussed on the comparison of summarization algorithms on Indian legal case judgements.

Types of algorithms:

• Supervised & Unsupervised, domain-specific (Extractive)
• Neural Networks based (Extractive and Abstractive)