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Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users
We make available a pairing of word embeddings and their human-annotated importance scores.
A Disability Lens towards Biases in GPT-3 Generated Open-Ended Languages
Language models (LM) are becoming prevalent in many language-based application spaces globally.
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