Named Entity Recognition in Indian court judgments
Computation and Language
2022-11-08 v1 Artificial Intelligence
Abstract
Identification of named entities from legal texts is an essential building block for developing other legal Artificial Intelligence applications. Named Entities in legal texts are slightly different and more fine-grained than commonly used named entities like Person, Organization, Location etc. In this paper, we introduce a new corpus of 46545 annotated legal named entities mapped to 14 legal entity types. The Baseline model for extracting legal named entities from judgment text is also developed.
Cite
@article{arxiv.2211.03442,
title = {Named Entity Recognition in Indian court judgments},
author = {Prathamesh Kalamkar and Astha Agarwal and Aman Tiwari and Smita Gupta and Saurabh Karn and Vivek Raghavan},
journal= {arXiv preprint arXiv:2211.03442},
year = {2022}
}
Comments
to be published in NLLP 2022 Workshop at EMNLP