Christian Gawron, Sebastian Schmidt. FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & 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 19-24, Association for Computational Linguistics, 2021. [doi]
@inproceedings{GawronS21-0,
title = {FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments},
author = {Christian Gawron and Sebastian Schmidt},
year = {2021},
url = {https://aclanthology.org/2021.germeval-1.3},
researchr = {https://researchr.org/publication/GawronS21-0},
cites = {0},
citedby = {0},
pages = {19-24},
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},
}