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A Legal Perspective on Training Models for Natural Language Processing

Eckart de Castilho, Richard and Dore, Giulia and Labropoulou, Penny and Margoni, Thomas and Gurevych, Iryna :
A Legal Perspective on Training Models for Natural Language Processing.
[Online-Edition: http://www.lrec-conf.org/proceedings/lrec2018/summaries/1006...]
Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018) European Language Resources Association (ELRA)
[Conference or Workshop Item] , (2018)

Official URL: http://www.lrec-conf.org/proceedings/lrec2018/summaries/1006...

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 or Workshop Item
Erschienen: 2018
Creators: Eckart de Castilho, Richard and Dore, Giulia and Labropoulou, Penny and Margoni, Thomas and Gurevych, Iryna
Title: A Legal Perspective on Training Models for Natural Language Processing
Language: English
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.

Title of Book: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018)
Publisher: European Language Resources Association (ELRA)
Uncontrolled Keywords: CEDIFOR;UKP_p_OpenMinTeD;UKP_reviewed;UKP_a_LangTech4eHum
Divisions: Department of Computer Science
Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Miyazaki, Japan
Date Deposited: 14 Dec 2017 15:28
Official URL: http://www.lrec-conf.org/proceedings/lrec2018/summaries/1006...
Identification Number: TUD-CS-2018-0010
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