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2023 SemEval SemEval 2023

Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous Documents

Abstract

AbstractThis paper describes our submission to SemEval-2023 Task 6, Subtask B, a shared task on performing Named Entity Recognition in legal documents for specific legal entity types. Documents are divided into the preamble and judgement texts, and certain entity types should only be tagged in one of the two text sections. To address this challenge, our team proposes a token classification model that is augmented with information about the document type, which achieves greater performance than the non-augmented system.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Michael Ginn, Roman Khamov

Topics

Machine Learning > Core Methods > Classification Natural Language Processing > Understanding > Named Entity Recognition Natural Language Processing > Resources & Methods > Multilingual NLP

Keywords

named entity recognition token classification legal document legal named entities legal entity extraction
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