Automatic extraction of legal norms: Evaluation of natural language processing tools
New Frontiers in Artificial Intelligence: JSAI-isAI International Workshops …, 2020•Springer
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 …
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 …
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.
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