@inproceedings{9eafb77e332b4ea1b1731d8eea63ebd9,
title = "Automatic Extraction of Legal Norms: Evaluation of Natural Language Processing Tools",
abstract = "Extracting and formalising legal norms from legal documents is a time-consuming and complex procedure. Therefore, the automatic methods that can accelerate this process are in high demand. In this paper, we address two major questions related to this problem: (i) what are the challenges in formalising legal documents into a machine understandable formalism? (ii) to what extent can the data-driven state-of-the-art approaches developed in the Natural Language Processing (NLP) community be used to automate the normative mining process. The results of our experiments indicate that NLP technologies such as relation extraction and semantic parsing are promising research avenues to advance research in this area.",
keywords = "Automatic rule extraction, Evaluation, Legal norms, Natural Language Processing",
author = "Gabriela Ferraro and Lam, {Ho Pun} and Tosatto, {Silvano Colombo} and Francesco Olivieri and Islam, {Mohammad Badiul} and {van Beest}, Nick and Guido Governatori",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 11th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2019 ; Conference date: 10-11-2019 Through 12-11-2019",
year = "2020",
doi = "10.1007/978-3-030-58790-1_5",
language = "English",
isbn = "9783030587895",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "64--81",
editor = "Maki Sakamoto and Naoaki Okazaki and Koji Mineshima and Ken Satoh",
booktitle = "New Frontiers in Artificial Intelligence - JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, 2019, Revised Selected Papers",
}