UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments

Kwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig. UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of 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 95-99, Association for Computational Linguistics, 2021. [doi]

@inproceedings{AkomeahKL21-0,
  title = {UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments},
  author = {Kwabena Odame Akomeah and Udo Kruschwitz and Bernd Ludwig},
  year = {2021},
  url = {https://aclanthology.org/2021.germeval-1.14},
  researchr = {https://researchr.org/publication/AkomeahKL21-0},
  cites = {0},
  citedby = {0},
  pages = {95-99},
  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},
}