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Found 2 papers, 1 papers with code
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.
On the Universality of Deep Contextual Language Models
Deep Contextual Language Models (LMs) like ELMO, BERT, and their successors dominate the landscape of Natural Language Processing due to their ability to scale across multiple tasks rapidly by pre-training a single model, followed by task-specific fine-tuning.
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