Interpretable Topic Modeling Using Near-Identity Cross-Document Coreference Resolution

Anastasia Zhukova, Felix Hamborg, Bela Gipp. Interpretable Topic Modeling Using Near-Identity Cross-Document Coreference Resolution. In Ruhua Huang, Dan Wu 003, Gary Marchionini, Daqing He, Sally Jo Cunningham, Preben Hansen, editors, JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, Virtual Event, China, August 1-5, 2020. pages 461-462, ACM, 2020. [doi]

Abstract

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