[The Gradient] How Can We Improve Peer Review in NLP?

This is a post I wrote for The Gradient: https://thegradient.pub/how-can-we-improve-peer-review-in-nlp/. It reports on a position paper that discusses the heuristics used by reviewers in NLP conferences, and what are the feasible goals for the peer review process.

Anna Rogers and Isabelle Augenstein. 2020. What Can We Do to Improve Peer Review in NLP?. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1256–1262, Online. Association for Computational Linguistics. https://aclanthology.org/2020.findings-emnlp.112/

See also this follow-up study on community preferences for how paper-reviewer matching should be done:

Terne Thorn Jakobsen and Anna Rogers. 2022. What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4810–4823, Seattle, United States. Association for Computational Linguistics. https://aclanthology.org/2022.naacl-main.354/