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Found 3 papers, 3 papers with code
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons.
Why Did You Not Compare With That? Identifying Papers for Use as Baselines
We frame the problem as a binary classification task where all the references in a paper are to be classified as either baselines or non-baselines.
Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations
In this work, we make two major contributions considering the above limitations: (1) we develop a Hindi-English code-mixed dataset, MaSaC, for the multi-modal sarcasm detection and humor classification in conversational dialog, which to our knowledge is the first dataset of its kind; (2) we propose MSH-COMICS, a novel attention-rich neural architecture for the utterance classification.
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