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Computer Science > Computation and Language

arXiv:2211.03442 (cs)
[Submitted on 7 Nov 2022]

Title:Named Entity Recognition in Indian court judgments

Authors:Prathamesh Kalamkar, Astha Agarwal, Aman Tiwari, Smita Gupta, Saurabh Karn, Vivek Raghavan
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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.
Comments: to be published in NLLP 2022 Workshop at EMNLP
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2211.03442 [cs.CL]
  (or arXiv:2211.03442v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2211.03442

Submission history

From: Prathamesh Kalamkar [view email]
[v1] Mon, 7 Nov 2022 10:44:44 UTC (117 KB)
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