Abstract
This system paper is a description of the system submitted to “SemEval-2019 Task 6”, where we had to detect offensive language in Twitter. There were two specific target audiences, immigrants and women. The language of the tweets was English. We were required to first detect whether a tweet contains offensive content, and then we had to find out whether the tweet was targeted against some individual, group or other entity. Finally we were required to classify the targeted audience.
Cite
CITATION STYLE
Garain, A., & Basu, A. (2019). The Titans at SemEval-2019 task 6: Offensive language identification, categorization and target identification. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 759–762). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2133
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