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Program Chairs' Report on Peer Review at ACL 2023

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

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearch

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Place of PublicationToronto, Canada
PublisherAssociation for Computational Linguistics
Publication date1 Jul 2023
Pagesxl-lxxv
Publication statusPublished - 1 Jul 2023
EventAnnual Meeting of the Association for Computational Linguistics - Toronto, Canada
Duration: 9 Jul 202314 Jul 2023
Conference number: 61
https://aclanthology.org/volumes/2023.acl-short/
https://2023.aclweb.org/

Conference

ConferenceAnnual Meeting of the Association for Computational Linguistics
Number61
Country/TerritoryCanada
CityToronto
Period09/07/202314/07/2023
Internet address

Keywords

  • Peer Review
  • Conference Management
  • Review Quality
  • NLP
  • Peer Review Matching
  • Transparency
  • Decision Support
  • Incentives
  • Meta-Research
  • ACL'23

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