Know-Center at SemEval-2019 Task 5: Multilingual Hate SpeechDetection on Twitter using CNNs

Roman Kern, Kevin Winter

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


This paper presents the Know-Center system submitted for task 5 of the SemEval-2019 workshop. Given a Twitter message in either English or Spanish, the task is to first detect whether it contains hateful speech and second, to determine the target and level of aggression used. For this purpose our system utilizes word embeddings and a neural network architecture, consisting of both dilated and traditional convolution layers. We achieved average F1-scores of 0.57 and 0.74 for English and Spanish respectively.
Original languageEnglish
Title of host publicationProceedings of the Thirteenth International Workshop on Semantic Evaluation
PublisherAssociation for Computational Linguistics
Number of pages5
Publication statusPublished - 2019
Event13th International Workshop on Semantic Evaluation - Minneapolis, United States
Duration: 6 Jun 20197 Jun 2019


Conference13th International Workshop on Semantic Evaluation
Abbreviated titleSemEval 2019
Country/TerritoryUnited States

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