Nlp techniques for normative mining

Gabriela Ferraro, Ho Pun Lam

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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 languageEnglish
Pages (from-to)941-974
Number of pages34
JournalIfCoLoG Journal of Logics and their Applications
Volume8
Issue number4
Publication statusPublished - May 2021
Externally publishedYes

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