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- W2953444889 abstract "This paper presents a detailed description of our participation in task 5 on SemEval-2019. This task consists of classifying English and Spanish tweets that contain hate towards women or immigrants. We carried out several experiments; for a finer-grained study of the task, we analyzed different features and designing architectures of neural networks. Additionally, to face the lack of hate content in tweets, we include data augmentation as a technique to in- crease hate content in our datasets." @default.
- W2953444889 created "2019-07-12" @default.
- W2953444889 creator A5032330439 @default.
- W2953444889 date "2019-01-01" @default.
- W2953444889 modified "2023-09-23" @default.
- W2953444889 title "HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition" @default.
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- W2953444889 doi "https://doi.org/10.18653/v1/s19-2072" @default.
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