Indian Legal NLP Benchmarks : A Survey
Prathamesh Kalamkar, Janani Venugopalan Ph.D., Vivek Raghavan Ph.D
TL;DR
This paper surveys existing benchmarks and proposes ideas for creating new NLP benchmarks tailored to Indian legal texts, aiming to advance AI applications in the legal domain.
Contribution
It reviews current work and suggests new benchmark ideas specifically designed for Indian legal language processing tasks.
Findings
Existing benchmarks are limited for Indian legal texts
Proposed benchmarks will facilitate AI innovation in legal applications
Survey highlights gaps and future directions in Indian Legal NLP
Abstract
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.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Artificial Intelligence in Law