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dc.contributor.author Wadhwa, Pritish
dc.contributor.author Satija, Gitansh Raj
dc.contributor.author Shah, Rajiv Ratn (Advisor)
dc.date.accessioned 2023-04-16T12:10:49Z
dc.date.available 2023-04-16T12:10:49Z
dc.date.issued 2022-07
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1208
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Natural Language Processing en_US
dc.subject Judgement Prediction en_US
dc.subject Citation Worthiness en_US
dc.subject Regular Expression en_US
dc.subject Machine Learning en_US
dc.subject Deep Learning en_US
dc.subject Graph Neural Networks en_US
dc.subject Law en_US
dc.subject Legal text en_US
dc.title Legal text processing en_US


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