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NER in the courtroom: A data-driven framework for legal entity extraction
computer-sciencedata-mininginformation-extractioninformation-retrievalnamed-entity-recognitionnatural-language-processing
General-purpose Named Entity Recognition (NER) models struggle with domain-specific challenges, particularly in the legal sector, where complex syntax, specialized terminology, and privacy concerns pose significant obstacles. This paper presents a novel data-driven two-stage framework that leverages
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