A Legal Perspective on Training Models for Natural Language Processing

Eckart de Castilho, R., Dore, G., Margoni, T. , Labropoulou, P. and Gurevych, I. (2018) A Legal Perspective on Training Models for Natural Language Processing. In: Eleventh International Conference on Language Resources and Evaluation (LREC-2018), Miyazaki, Japan, 7-12 May 2018, pp. 1267-1274.

Eckart de Castilho, R., Dore, G., Margoni, T. , Labropoulou, P. and Gurevych, I. (2018) A Legal Perspective on Training Models for Natural Language Processing. In: Eleventh International Conference on Language Resources and Evaluation (LREC-2018), Miyazaki, Japan, 7-12 May 2018, pp. 1267-1274.

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Abstract

A significant concern in processing natural language data is the often unclear legal status of the input and output data/resources. In this paper, we investigate this problem by discussing a typical activity in Natural Language Processing: the training of a machine learning model from an annotated corpus. We examine which legal rules apply at relevant steps and how they affect the legal status of the results, especially in terms of copyright and copyright-related rights.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Margoni, Dr Thomas and Dore, Dr Giulia
Authors: Eckart de Castilho, R., Dore, G., Margoni, T., Labropoulou, P., and Gurevych, I.
College/School:College of Social Sciences > School of Law
Copyright Holders:Copyright © 2018 The Authors
Publisher Policy:Reproduced under a Creative Commons License
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
747691OpenMinTeDThomas MargoniEuropean Commission (EC)654021LAW - CREATE