Eckart de Castilho, Richard ; Dore, Giulia ; Labropoulou, Penny ; Margoni, Thomas ; Gurevych, Iryna (2018)
A Legal Perspective on Training Models for Natural Language Processing.
Miyazaki, Japan
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Eckart de Castilho, Richard ; Dore, Giulia ; Labropoulou, Penny ; Margoni, Thomas ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | A Legal Perspective on Training Models for Natural Language Processing |
| Sprache: | Englisch |
| Publikationsjahr: | Mai 2018 |
| Verlag: | European Language Resources Association (ELRA) |
| Buchtitel: | Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018) |
| Veranstaltungsort: | Miyazaki, Japan |
| URL / URN: | http://www.lrec-conf.org/proceedings/lrec2018/summaries/1006... |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | CEDIFOR;UKP_p_OpenMinTeD;UKP_reviewed;UKP_a_LangTech4eHum |
| ID-Nummer: | TUD-CS-2018-0010 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 14 Dez 2017 15:28 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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