Automatic Extraction of Legal Norms: Evaluation of Natural Language Processing Tools
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 12331 LNAI, Page: 64-81
2020
- 16Citations
- 29Captures
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Conference Paper Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85091536427&origin=inward; http://dx.doi.org/10.1007/978-3-030-58790-1_5; http://link.springer.com/10.1007/978-3-030-58790-1_5; https://dx.doi.org/10.1007/978-3-030-58790-1_5; https://link.springer.com/chapter/10.1007/978-3-030-58790-1_5
Springer Science and Business Media LLC
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