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Named Entity Extraction Lifecycle in the Legal Domain

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  • Stanimira Yordanova

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

Extracting named entities from legal texts is a challenging task in the field of legal linguistics and artificial intelligence. Legal text is characterized by a complex structure, specific terminology, and a large volume, which needs the application of natural language processing methods for processing, analyzing, and extracting important information from unstructured data. The goal of this paper is to analyze the life cycle of extracting named entities from legal documents by examining key information for extraction, the process and the challenges of identifying and classifying the objects to be extracted from the text.

Suggested Citation

  • Stanimira Yordanova, 2024. "Named Entity Extraction Lifecycle in the Legal Domain," Innovative Information Technologies for Economy Digitalization (IITED), University of National and World Economy, Sofia, Bulgaria, issue 1, pages 131-139, October.
    • Handle: RePEc:nwe:iitfed:y:2024:i:1:p:131-139
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