Parra Escartín, Carla ORCID: 0000-0002-8412-1525, Reijers, Wessel ORCID: 0000-0003-2505-1587, Lynn, Teresa, Moorkens, Joss ORCID: 0000-0003-0766-0071, Way, Andy ORCID: 0000-0001-5736-5930 and Liu, Chao-Hong ORCID: 0000-0002-1235-6026 (2017) Ethical considerations in NLP shared tasks. In: First Workshop on Ethics in Natural Language Processing, 4 Apr 2017, Valencia, Spain.
Abstract
Shared tasks are increasingly common in
our field, and new challenges are suggested at almost every conference and
workshop. However, as this has become
an established way of pushing research
forward, it is important to discuss how
we researchers organise and participate in
shared tasks, and make that information
available to the community to allow further research improvements. In this paper, we present a number of ethical issues
along with other areas of concern that are
related to the competitive nature of shared
tasks. As such issues could potentially
impact on research ethics in the Natural
Language Processing community, we also
propose the development of a framework
for the organisation of and participation in
shared tasks that can help mitigate against
these issues arising.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | ethics |
Subjects: | Computer Science > Machine translating |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies Research Initiatives and Centres > ADAPT |
Published in: | Proceedings of the First Workshop on Ethics in Natural Language Processing. . Association for Computational Linguistics. |
Publisher: | Association for Computational Linguistics |
Official URL: | https://doi.org/10.18653/v1/W17-1608 |
Copyright Information: | ©2017 ACM |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland in the ADAPT Centre (Grant 13/RC/2106) (www.adaptcentre.ie) at Dublin City University. |
ID Code: | 23231 |
Deposited On: | 02 May 2019 11:43 by Thomas Murtagh . Last Modified 29 May 2019 11:04 |
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