Papers by Priyanka Kulkarni

1 papers
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection (2022.acl-long)

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Challenge: Existing ‘Stereotype Detection’ datasets adopt a diagnostic approach toward large PLMs.
Approach: They propose a multi-task model that leverages the abundance of data-rich neighboring tasks such as hate speech detection, offensive language detection, misogyny detection, etc., to improve the empirical performance.
Outcome: The proposed model achieves significant gains over baselines on hate speech detection, offensive language detection, misogyny detection, etc.

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