Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1208
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dc.contributor.authorWadhwa, Pritish-
dc.contributor.authorSatija, Gitansh Raj-
dc.contributor.authorShah, Rajiv Ratn (Advisor)-
dc.date.accessioned2023-04-16T12:10:49Z-
dc.date.available2023-04-16T12:10:49Z-
dc.date.issued2022-07-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1208-
dc.description.abstractLegal 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.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectNatural Language Processingen_US
dc.subjectJudgement Predictionen_US
dc.subjectCitation Worthinessen_US
dc.subjectRegular Expressionen_US
dc.subjectMachine Learningen_US
dc.subjectDeep Learningen_US
dc.subjectGraph Neural Networksen_US
dc.subjectLawen_US
dc.subjectLegal texten_US
dc.titleLegal text processingen_US
Appears in Collections:Year-2022

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