Abstract
Preregistration refers to the practice of specifying what you are going to do, and what you expect to find in your study, before carrying out the study. This practice is increasingly common in medicine and psychology, but is rarely discussed in NLP. This paper discusses preregistration in more detail, explores how NLP researchers could preregister their work, and presents several preregistration questions for different kinds of studies. Finally, we argue in favour of registered reports, which could provide firmer grounds for slow science in NLP research. The goal of this paper is to elicit a discussion in the NLP community, which we hope to synthesise into a general NLP preregistration form in future research.
Original language | English |
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Title of host publication | Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
Place of Publication | Online |
Publisher | Association for Computational Linguistics |
Pages | 613-623 |
Number of pages | 11 |
Publication status | Published - 1 Jun 2021 |
Event | Human Language Technology Conference 2021 - online Duration: 16 Mar 2021 → 18 Mar 2021 https://www.hltcon.org/ |
Conference
Conference | Human Language Technology Conference 2021 |
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Abbreviated title | HLTCon |
Period | 16/03/21 → 18/03/21 |
Internet address |
Fingerprint
Dive into the research topics of 'Preregistering NLP research'. Together they form a unique fingerprint.Prizes
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Best Thematic Paper Award
van Miltenburg, E. (Recipient), Krahmer, E. (Recipient) & van der Lee, C. (Recipient), 2021
Prize: Other marks of recognition