Program Chairs' Report on Peer Review at ACL 2023

Anna Rogers, Marzena Karpinska, Jordan Boyd-Graber, Naoaki Okazaki

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskning


We present a summary of the efforts to improve conference peer review that were implemented at ACL'23. This includes work with the goal of improving review quality, clearer workflow and decision support for the area chairs, as well as our efforts to improve paper-reviewer matching for various kinds of non- mainstream NLP work, and improve the overall incentives for all participants of the peer review process. We present analysis of the factors affecting peer review, identify the most problematic issues that the authors complained about, and provide suggestions for the future chairs. We hope that publishing such reports would (a) improve transparency in decision-making, (b) help the people new to the field to understand how the *ACL conferences work, (c) provide useful data for the future chairs and workshop organizers, and also academic work on peer review, and (d) provide useful context for the final program, as a source of information for meta-research on the structure and trajectory of the field of NLP.
TitelProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
UdgivelsesstedToronto, Canada
ForlagAssociation for Computational Linguistics
Publikationsdato1 jul. 2023
StatusUdgivet - 1 jul. 2023


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