@inproceedings{91b5c70f525c4d529e439ecf05e1505f,
title = "A multiview clustering approach to identify out-of-scope submissions in peer review",
abstract = "Despite criticisms, peer review is still the only widely accepted method for research validation. The first stage in academic peer review begins at the editor's desk where one essential job of the editor is to identify and reject inappropriate out-of-scope submissions. Here in this work, we investigate if we could assist the editor in identifying potential out-of-scope submissions. We view a paper from multiple perspectives and devise a multiview clustering approach to group in-scope and out-of-scope articles. Our semi-supervised approach requires less training data yet achieves high performance. Our initial investigation yields promising results and has the potential to reduce the first turn-around time for journal submissions.",
keywords = "Desk rejection, Multiview clustering, Peer review",
author = "Tirthankar Ghosal and Debomit Dey and Avik Dutta and Asif Ekbal and Sriparna Saha and Pushpak Bhattacharyya",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
year = "2019",
month = jun,
doi = "10.1109/JCDL.2019.00086",
language = "English",
series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "392--393",
editor = "Maria Bonn and Dan Wu and Downie, {Stephen J.} and Alain Martaus",
booktitle = "Proceedings - 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019",
}