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2 octobre 2018
- handle: 10670/1.kuj3yw
- GOid: 0xc1aa5576_0x003a10ee
info:eu-repo/semantics/openAccess
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Georg Rehm et al., « Towards the Automatic Classification of Offensive Language and Related Phenomena in German Tweets », Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschafte, ID : 10670/1.kuj3yw
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In recent years the automatic detection of abusive language, offensive language and hate speech in several different forms of online communication has received a lot of attention by the Computational Linguistics and Language Technology community. While most approaches work on English data, publications on languages other than English are rare. This paper, submitted to the GermEval 2018 Shared Task on the Identification of Offensive Language, provides the results of several experiments regarding the classification of offensive language in German language tweets.