LegNER: a domain-adapted transformer for legal named entity recognition and text anonymization

The increasing demand for scalable and privacy-preserving processing of legal documents has intensified the need for accurate Named Entity Recognition (NER) systems tailored to the legal domain. In this work, we introduce LegNER, a domain-adapted transformer model designed for both legal NER and tex...

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Bibliografski detalji

Glavni autori:	Ioannis Karamitsos, Nikolaos Roufas, Khalil Al-Hussaeni, Andreas Kanavos
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2025-11-01
Serija:	Frontiers in Artificial Intelligence
Teme:	legal NLP named entity recognition transformer models text anonymization domain adaptation GDPR compliance
Online pristup:	https://www.frontiersin.org/articles/10.3389/frai.2025.1638971/full
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