A Two-Sided Discussion of Preregistration of NLP Research
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Van Miltenburg et al. (2021) suggest NLP research should adopt preregistration to prevent fishing expeditions and to promote publication of negative results. At face value, this is a very reasonable suggestion, seemingly solving many methodological problems with NLP research. We discuss pros and cons-some old, some new: a) Preregistration is challenged by the practice of retrieving hypotheses after the results are known; b) preregistration may bias NLP toward confirmatory research; c) preregistration must allow for reclassification of research as exploratory; d) preregistration may increase publication bias; e) preregistration may increase flag-planting; f) preregistration may increase p-hacking; and finally, g) preregistration may make us less risk tolerant. We cast our discussion as a dialogue, presenting both sides of the debate.
Original language | English |
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Title of host publication | EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference |
Publisher | Association for Computational Linguistics (ACL) |
Publication date | 2023 |
Pages | 83-93 |
ISBN (Electronic) | 9781959429449 |
DOIs | |
Publication status | Published - 2023 |
Event | 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 - Dubrovnik, Croatia Duration: 2 May 2023 → 6 May 2023 |
Conference
Conference | 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023 |
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Land | Croatia |
By | Dubrovnik |
Periode | 02/05/2023 → 06/05/2023 |
Sponsor | Adobe, Babelscape, Bloomberg Engineering, Duolingo, Liveperson |
Bibliographical note
Publisher Copyright:
© 2023 Association for Computational Linguistics.
ID: 356885601