Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1208
Title: Legal text processing
Authors: Wadhwa, Pritish
Satija, Gitansh Raj
Shah, Rajiv Ratn (Advisor)
Keywords: Natural Language Processing
Judgement Prediction
Citation Worthiness
Regular Expression
Machine Learning
Deep Learning
Graph Neural Networks
Law
Legal text
Issue Date: Jul-2022
Publisher: IIIT-Delhi
Abstract: Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain is comparatively very small. Through this research we aim to explore this exciting domain. In this research, we introduce two novel datasets. The first one consists of about 2 million Indian Legal documents spanning over the 74 years since our country’s independence in 1947. The other dataset comprises of about 7 million US case laws, spanning over a little shy of 4 centuries. Along with this, we also aim to tackle two tasks. First one concerns itself with predicting judgement for Indian Supreme Court cases. The other one focuses on the legal citation worthiness of a statement. We hope that through our efforts, the interest of the research community increases in this domain.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1208
Appears in Collections:Year-2022

Files in This Item:
File Description SizeFormat 
Pritish Wadhwa.pdf
  Restricted Access
1.23 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.