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Found 4 papers, 1 papers with code
Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes.
Identifying good and evil through representations of victimhood, heroism, and villainy (i. e., role labeling of entities) has recently caught the research community’s interest.
IIITDWD@TamilNLP-ACL2022: Transformer-based approach to classify abusive content in Dravidian Code-mixed text
As part of ACL-2022, organizers of DravidianLangTech@ACL 2022 have released a shared task on abusive category identification in Tamil and Tamil-English code-mixed text to encourage further research on offensive content identification in low-resource Indic languages.
Hope Speech Detection on Social Media Platforms
Since personal computers became widely available in the consumer market, the amount of harmful content on the internet has significantly expanded.
IIITDWD-ShankarB@ Dravidian-CodeMixi-HASOC2021: mBERT based model for identification of offensive content in south Indian languages
Task 1 involves identifying offensive content in Malayalam data, whereas Task 2 includes Malayalam and Tamil Code Mixed Sentences.
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