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Hybrid Statistical Model and Rule-Based Algorithm for Legal Analysis: A Case Study on Thai Offences Against Property

Legal analysis using advances in natural language processing (NLP) and machine learning (ML) is complex and challenging, attracting academic and industry attention. This study explores different combinations of NLP, ML, and rule-based techniques to develop a novel integrated pipeline for accurate le...

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Principais autores: Sirawit Chokphantavee, Sorawit Chokphantavee, Somrudee Deepaisarn
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2025-01-01
coleção:IEEE Access
Assuntos:
Criminal law
machine learning
legal informatics
multi-label classification
natural language processing (NLP)
Acesso em linha:https://ieeexplore.ieee.org/document/11272045/
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