Abstract
Natural Language Processing (NLP) is a branch of artificial intelligence that study the interactions between computers and human (natural) language. In the field of legal informatics, the focus has been centered on mining and formalising normative information such that the legal norms extracted can be interpreted and reasoned by machines in an automated fashion. In this article, we focus our attention on discussing the challenges of normative mining from a NLP perspective, and present a detailed overview of existing techniques on semantic parsing, and their strengths and limitations on mining legal norms.
Original language | English |
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Pages (from-to) | 941-974 |
Number of pages | 34 |
Journal | IfCoLoG Journal of Logics and their Applications |
Volume | 8 |
Issue number | 4 |
Publication status | Published - May 2021 |
Externally published | Yes |