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Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language
The methods implemented and experimented with in this paper are quite different from each other, not only in the type of lexicons they use (sentiment or semantic), but also in the way they use the knowledge from the lexicons, in order to construct or to change embeddings that are ultimately fed into the learning model.
Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language
Detecting abusive language is a significant research topic, which has received a lot of attention recently.
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