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Automating the assignment of submitted manuscripts to reviewers

Dumais, Susan T., Nielsen, Jakob·1992·Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92

Abstract

Abstract time and at a more or less leisurely pace. For conference The 117 manuscripts submitted for the Hypertext’91 conference were assigned to members of the review committee, using a variety of automated methods based on information retrieval principles and Latent Semantic Indexing. Fifteen reviewers provided exhaustive ratings for the submitted abstracts, indicating how well each abstract matched their interests. The automated methods do a fairly good job of assigning relevant papers for review, but they are still somewhat poorer than assignments made manually by human experts and substantially poorer than an assignment perfectly matching the reviewers ’ own ranking of the papers. A new automated assignment method called “n of 2rz” achieves better performance than human experts by sending reviewers more papers than they actually have to review and then allowing them to choose part of their review load themselves.

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Metadata

Authors
Dumais, S. T., & Nielsen, J.
Venue
Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92
Publisher
ACM Press
Published
1992
Pages
233-244
OpenAlex
W2099708568
Cited by
192
References
0
FWCI
1.93
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Automating the assignment of submitted manuscripts to reviewers. https://app.cochat.ai/papers/10.1145/133160.133205
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Dumais, S. T., & Nielsen, J. (1992). Automating the assignment of submitted manuscripts to reviewers. Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92. https://doi.org/10.1145/133160.133205

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.