ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection
Published: Jan 1, 2019
Abstract
In this paper, we present the results obtained using bi-directional long short-term memory (BiLSTM) with and without attention and Logistic Regression (LR) models for SemEval-2019 Task 5 titled ”HatEval: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter”. This paper presents the results obtained for Subtask A for English language. The results of the BiLSTM and LR models are compared for two different types of...
Paper Details
Title
ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection
Published Date
Jan 1, 2019
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