Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. (arXiv:2206.12368v1 [cs.CL])

Deaf and hard of hearing individuals regularly rely on captioning while
watching live TV. Live TV captioning is evaluated by regulatory agencies using
various caption evaluation metrics. However, caption evaluation metrics are
often not informed by preferences of DHH users or how meaningful the captions
are. There is a need to construct caption evaluation metrics that take the
relative importance of words in a transcript into account. We conducted
correlation analysis between two types of word embeddings and human-annotated
labeled …

arxiv bert conversational hearing importance transcripts