What Can We Do to Improve Peer Review in NLP?
October 08, 2020 ยท Declared Dead ยท ๐ Findings
"No code URL or promise found in abstract"
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Authors
Anna Rogers, Isabelle Augenstein
arXiv ID
2010.03863
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
57
Venue
Findings
Last Checked
4 months ago
Abstract
Peer review is our best tool for judging the quality of conference submissions, but it is becoming increasingly spurious. We argue that a part of the problem is that the reviewers and area chairs face a poorly defined task forcing apples-to-oranges comparisons. There are several potential ways forward, but the key difficulty is creating the incentives and mechanisms for their consistent implementation in the NLP community.
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