Named Entity Recognition in Indian court judgments

Prathamesh Kalamkar, Astha Agarwal, Aman Tiwari, Smita Gupta, Saurabh Karn, Vivek Raghavan

2022-11-07named-entity-recognition Named Entity Recognition NER Named Entity Recognition (NER)

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.

Results

Task	Dataset	Metric	Value	Model
Open Information Extraction	InLegalNER	F1 score	91.076	opennyaiorg/en_legal_ner_trf
Information Extraction	InLegalNER	F1 score	91.076	opennyaiorg/en_legal_ner_trf
Named Entity Recognition (NER)	InLegalNER	F1 score	91.076	opennyaiorg/en_legal_ner_trf
Event Extraction	InLegalNER	F1 score	91.076	opennyaiorg/en_legal_ner_trf

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