Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers-Reference-Cited by-同舟云学术

Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:20th International Web for All Conference
language:
Short-container-title:

Author:

Amin Akhter Al¹^ORCID,Hassan Saad¹^ORCID,Huenerfauth Matt²^ORCID,Alm Cecilia Ovesdotter³^ORCID

Affiliation:

1. Computing and Information Sciences, Rochester Institute of Technology, USA

2. School of Information, Rochester Institute of Technology, USA

3. Department of Psychology, Rochester Institute of Technology, USA

Funder

National Science Foundation

Publisher

ACM

Reference29 articles.

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2. Word Error Rate Estimation for Speech Recognition: e-WER

3. Akhter Al Amin , Saad Hassan , Cecilia Alm , and Matt Huenerfauth . 2022 . Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users . In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion. Association for Computational Linguistics , Dublin, Ireland, 35–40. https://doi.org/10. 18653/v1/2022.ltedi-1.5 10.18653/v1 Akhter Al Amin, Saad Hassan, Cecilia Alm, and Matt Huenerfauth. 2022. Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion. Association for Computational Linguistics, Dublin, Ireland, 35–40. https://doi.org/10.18653/v1/2022.ltedi-1.5

4. Caption-occlusion severity judgments across live-television genres from deaf and hard-of-hearing viewers

5. Gerlof Bouma . 2009 . Normalized (Pointwise) Mutual Information in Collocation Extraction. In From Form to Meaning: Processing Texts Automatically , Proceedings of the Biennial GSCL Conference 2009. Tubingen, 31–40. Gerlof Bouma. 2009. Normalized (Pointwise) Mutual Information in Collocation Extraction. In From Form to Meaning: Processing Texts Automatically, Proceedings of the Biennial GSCL Conference 2009. Tubingen, 31–40.