TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments

Kinga Gémes, Gábor Recski. TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments. In Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand, editors, Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, GermEval@KONVENS 2021, Düsseldorf, Germany, September 6, 2021. pages 69-75, Association for Computational Linguistics, 2021. [doi]

Abstract

Abstract is missing.