Preregistering NLP research

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Place of PublicationOnline
PublisherAssociation for Computational Linguistics
Pages613-623
Number of pages11
Publication statusPublished - 1 Jun 2021
EventHuman Language Technology Conference 2021 - online
Duration: 16 Mar 202118 Mar 2021
https://www.hltcon.org/

Conference

ConferenceHuman Language Technology Conference 2021
Abbreviated titleHLTCon
Period16/03/2118/03/21
Internet address

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