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Ethical considerations in NLP shared tasks

Parra Escartín, Carla orcid logoORCID: 0000-0002-8412-1525, Reijers, Wessel orcid logoORCID: 0000-0003-2505-1587, Lynn, Teresa, Moorkens, Joss orcid logoORCID: 0000-0003-0766-0071, Way, Andy orcid logoORCID: 0000-0001-5736-5930 and Liu, Chao-Hong orcid logoORCID: 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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