Papers by Eudald Cumalat

1 papers
Abusive language in Spanish children and young teenager’s conversations: data preparation and short text classification with contextual word embeddings (2020.lrec-1)

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Challenge: Existing studies on how to automatically detect abusive short texts are gaining interest in the natural language processing community.
Approach: They propose to use a contextual word embedding model to automatically detect abusive short texts for Spanish language.
Outcome: The proposed model outperforms classical methods in the detection of abusive short texts for the spanish language.

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