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Neural Word Decomposition Models for Abusive Language Detection
User generated text on social media often suffers from a lot of undesired characteristics including hatespeech, abusive language, insults etc.
Multi Sense Embeddings from Topic Models
Distributed word embeddings have yielded state-of-the-art performance in many NLP tasks, mainly due to their success in capturing useful semantic information.
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