Indian Legal NLP Benchmarks : A Survey
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866908481451196416 |
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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 |