{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/named-entity-recognition-in-indian-court","title":"Named Entity Recognition in Indian court judgments","arxiv_id":"2211.03442","date":"2022-11-07","proceeding":null,"authors":["Prathamesh Kalamkar","Astha Agarwal","Aman Tiwari","Smita Gupta","Saurabh Karn","Vivek Raghavan"],"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.","url_abs":"https://arxiv.org/abs/2211.03442v1","url_pdf":"https://arxiv.org/pdf/2211.03442v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"named-entity-recognition-in-indian-court","repo_url":"https://github.com/legal-nlp-ekstep/legal_ner","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"cg","task_name":"NER"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"named-entity-recognition","task_name":"named-entity-recognition"}],"methods":[],"datasets_introduced":[{"slug":"inlegalner","name":"InLegalNER","full_name":"InLegalNER"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/ner-on-inlegalner","task":"NER","dataset":"InLegalNER","model":"opennyaiorg/en_legal_ner_trf","rank_in_archive_order":1,"of":1,"metrics":{"F1 score":"91.076"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2211.03442","atlas_url":"https://app.syntology.ai/?focus=2211.03442","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}