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Develop a classifier that could make a 3-way classification in-between ‘Overtly Aggressive’, ‘Covertly Aggressive’ and ‘Non-aggressive’ text data. For this, TRAC-2 dataset of 5,000 aggression-annotated data from social media each in Bangla (in both Roman and Bangla script), Hindi (in both Roman and Devanagari script) and English for training and validation is to be used.

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Greatest papers with code

Aggression and Misogyny Detection using BERT: A Multi-Task Approach

LREC 2020 NiloofarSafi/TRAC-2

In recent times, the focus of the NLP community has increased towards offensive language, aggression, and hate-speech detection. This paper presents our system for TRAC-2 shared task on {``}Aggression Identification{''} (sub-task A) and {``}Misogynistic Aggression Identification{''} (sub-task B).

ABUSIVE LANGUAGE AGGRESSION IDENTIFICATION HATE SPEECH DETECTION MISOGYNISTIC AGGRESSION IDENTIFICATION MULTI-TASK LEARNING