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POST: A Machine Learning Based Paper Organization and Scheduling Tool

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Association for Computing Machinery


Organizing and assigning papers into sessions within a large conference is a formidable challenge. Some conference organizers, who are typically volunteers, have utilized event planning software to ensure simple constraints, such as two people can not be scheduled to talk at the same time. In this work, we proposed utilizing natural language processing to find the topics within a corpus of conference submissions and then cluster them together into sessions. As a preliminary evaluation of this technique, we compare session assignments from previous conferences to ones generated with our proposed techniques.


Moore, Nathan; Molloy, Kevin; Lovo, William; Mayer, Sven; Wozniak, Pawel W.; Stewart, Michael (2020): POST: A Machine Learning Based Paper Organization and Scheduling Tool. Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work. DOI: 10.1145/3323994.3369892. Association for Computing Machinery. pp. 135–138. Sanibel Island, Florida, USA