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Proceedings of the GermEval 2018 Workshop14th Conference on Natural Language Processing - KONVENS 2018
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
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Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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konvens 2018 - GermEval Proceedings, pp. 33-37, 2018/10/02
14th Conference on Natural Language Processing - KONVENS 2018
In this paper, we present two deep-learning based classifier systems for the identification of offensive comments in German Language microposts: A bidirectional LSTM model and a CNN model. Our objective is to compare the performance of these two systems with a traditional, machinelearning based SVM classifier and to evaluate our approach on Task 1 (binary classification) of the GermEval 2018 shared task.