What Can We Do to Improve Peer Review in NLP?
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Dokumenter
- What CanWe Do to Improve Peer Review in NLP
Forlagets udgivne version, 312 KB, PDF-dokument
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.
Originalsprog | Engelsk |
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Titel | Findings of the Association for Computational Linguistics: EMNLP 2020 |
Forlag | Association for Computational Linguistics |
Publikationsdato | 2020 |
Sider | 1256-1262 |
DOI | |
Status | Udgivet - 2020 |
Begivenhed | The 2020 Conference on Empirical Methods in Natural Language Processing - online Varighed: 16 nov. 2020 → 20 nov. 2020 http://2020.emnlp.org |
Konference
Konference | The 2020 Conference on Empirical Methods in Natural Language Processing |
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Lokation | online |
Periode | 16/11/2020 → 20/11/2020 |
Internetadresse |
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