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http://repository.iiitd.edu.in/xmlui/handle/123456789/1208Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 |
| Appears in Collections: | Year-2022 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Pritish Wadhwa.pdf Restricted Access | 1.23 MB | Adobe PDF | View/Open Request a copy |
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