Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users

Akhter Al Amin, Saad Hassan, Cecilia O. Alm, Matt Huenerfauth. Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. In Bharathi Raja Chakravarthi, B. Bharathi, John P. McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar, editors, Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, LT-EDI 2022, Dublin, Ireland, May 27, 2022. pages 35-40, Association for Computational Linguistics, 2022. [doi]

Abstract

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