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Found 3 papers, 1 papers with code
MUCIC at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using N-grams and Multilingual Sentence Encoders
These approaches obtained the highest performance in the shared task for Meitei, Bangla, and Multilingual texts with instance-F1 scores of 0. 350, 0. 412, and 0. 380 respectively using Pre-aggregation of labels.
Sarcasm Detection Framework Using Context, Emotion and Sentiment Features
We use a pre-trained transformer and CNN to capture context features, and we use transformers pre-trained on emotions detection and sentiment analysis tasks.
Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021
In this paper, we present two shared tasks of abusive and threatening language detection for the Urdu language which has more than 170 million speakers worldwide.
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