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Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detection
With the exponential rise in user-generated web content on social media, the proliferation of abusive languages towards an individual or a group across the different sections of the internet is also rapidly increasing.
Investigating Deep Learning Approaches for Hate Speech Detection in Social Media
Moreover, the varieties in user-generated data and the presence of various forms of hate speech makes it very challenging to identify the degree and intention of the message.
NLP at SemEval-2019 Task 6: Detecting Offensive language using Neural Networks
The three best models that performed best on individual sub tasks are stacking of CNN-Bi-LSTM with Attention, BiLSTM with POS information added with word features and Bi-LSTM for third task.
An Ensemble Approach for Aggression Identification in English and Hindi Text
This paper describes our system submitted in the shared task at COLING 2018 TRAC-1: Aggression Identification.
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