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h_da Submission for the Germeval Shared Task on the Identification of Offensive Language

    Melanie Siegel, Markus Meyer

konvens 2018 - GermEval Proceedings, pp. 16-20, 2018/10/02

14th Conference on Natural Language Processing - KONVENS 2018


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Abstract

This paper describes the Darmstadt University of Applied Sciences (h da) submission to the binary classification task of the Germeval Task 2018 - Shared Task on the Identification of Offensive Language. We submitted three runs, both a combination of lexical resources and an adapted sentiment analysis system. In run 1 (hda coarse 1.txt) and 2 (hda coarse 2.txt), we had a thresholdbased approach (with different thresholds) and in run 3 (hda coarse 3.txt), an approach based on machine learning.