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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Ioannis Karamitsos, Nikolaos Roufas, Khalil Al-Hussaeni, Andreas Kanavos
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2025-11-01
Σειρά:	Frontiers in Artificial Intelligence
Θέματα:	legal NLP named entity recognition transformer models text anonymization domain adaptation GDPR compliance
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/frai.2025.1638971/full
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!