Indian Legal NLP Benchmarks : A Survey

Fuente: arXiv
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Autori principali: Kalamkar, Prathamesh, D., Janani Venugopalan Ph., D, Vivek Raghavan Ph.
Natura: Preprint
Pubblicazione: 2021
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author Kalamkar, Prathamesh
D., Janani Venugopalan Ph.
D, Vivek Raghavan Ph.
author_facet Kalamkar, Prathamesh
D., Janani Venugopalan Ph.
D, Vivek Raghavan Ph.
contents Availability of challenging benchmarks is the key to advancement of AI in a specific field.Since Legal Text is significantly different than normal English text, there is a need to create separate Natural Language Processing benchmarks for Indian Legal Text which are challenging and focus on tasks specific to Legal Systems. This will spur innovation in applications of Natural language Processing for Indian Legal Text and will benefit AI community and Legal fraternity. We review the existing work in this area and propose ideas to create new benchmarks for Indian Legal Natural Language Processing.
format Preprint
id arxiv_https___arxiv_org_abs_2107_06056
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Indian Legal NLP Benchmarks : A Survey
Kalamkar, Prathamesh
D., Janani Venugopalan Ph.
D, Vivek Raghavan Ph.
Computation and Language
Artificial Intelligence
Machine Learning
Availability of challenging benchmarks is the key to advancement of AI in a specific field.Since Legal Text is significantly different than normal English text, there is a need to create separate Natural Language Processing benchmarks for Indian Legal Text which are challenging and focus on tasks specific to Legal Systems. This will spur innovation in applications of Natural language Processing for Indian Legal Text and will benefit AI community and Legal fraternity. We review the existing work in this area and propose ideas to create new benchmarks for Indian Legal Natural Language Processing.
title Indian Legal NLP Benchmarks : A Survey
topic Computation and Language
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2107.06056