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Found 2 papers, 1 papers with code
On the Challenges of Building Datasets for Hate Speech Detection
Detection of hate speech has been formulated as a standalone application of NLP and different approaches have been adopted for identifying the target groups, obtaining raw data, defining the labeling process, choosing the detection algorithm, and evaluating the performance in the desired setting.
bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments
In this paper, we present our system for the LT-EDI shared task on detecting homophobia and transphobia in social media comments.
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