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]
@inproceedings{GemesR21, title = {TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments}, author = {Kinga Gémes and Gábor Recski}, year = {2021}, url = {https://aclanthology.org/2021.germeval-1.10}, researchr = {https://researchr.org/publication/GemesR21}, cites = {0}, citedby = {0}, pages = {69-75}, booktitle = {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}, editor = {Julian Risch and Anke Stoll and Lena Wilms and Michael Wiegand}, publisher = {Association for Computational Linguistics}, }