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- W2954633228 abstract "User’s content share through social media has reached huge proportions nowadays. However, along with the free expression of thoughts on social media, people risk getting exposed to various aggressive statements. In this paper, we present a system able to identify and classify offensive user-generated content." @default.
- W2954633228 created "2019-07-12" @default.
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- W2954633228 date "2019-01-01" @default.
- W2954633228 modified "2023-10-18" @default.
- W2954633228 title "Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language" @default.
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- W2954633228 doi "https://doi.org/10.18653/v1/s19-2113" @default.
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