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Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052)

Authors: Iryna Gurevych, Anna Rogers, Nihar B. Shah, and Jingyan Wang

Published in: Dagstuhl Reports, Volume 14, Issue 1 (2024)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 24052 "Reviewer No. 2: Old and New Problems in Peer Review". This seminar provided a point of reflection on decades of personal experience of the participants in organizing different kinds of peer-reviewed venues in Natural Language Processing (NLP) and beyond, enabling an in-depth discussion of what has been tried, what seems to work and what doesn't. The outcomes of the seminar include a white paper co-authored by most of the seminar participants, which outlines the research program, methodological and empirical challenges for NLP for peer review. The discussions at the seminar also resulted in several concrete policy proposals and initiatives, some of which are already in motion at the Association for Computational Linguistics and elsewhere.

Cite as

Iryna Gurevych, Anna Rogers, Nihar B. Shah, and Jingyan Wang. Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). In Dagstuhl Reports, Volume 14, Issue 1, pp. 130-161, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


Copy BibTex To Clipboard

@Article{gurevych_et_al:DagRep.14.1.130,
  author =	{Gurevych, Iryna and Rogers, Anna and Shah, Nihar B. and Wang, Jingyan},
  title =	{{Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052)}},
  pages =	{130--161},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{1},
  editor =	{Gurevych, Iryna and Rogers, Anna and Shah, Nihar B. and Wang, Jingyan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.1.130},
  URN =		{urn:nbn:de:0030-drops-204941},
  doi =		{10.4230/DagRep.14.1.130},
  annote =	{Keywords: Peer Review, Natural Language Processing}
}
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