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

24 June 2022

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

6 / 6 papers shown

Title
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens Saad Hassan Matt Huenerfauth Cecilia Ovesdotter Alm 91 38 0 01 Oct 2021
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings Jacob Turton D. Vinson Robert Smith 44 25 0 30 Dec 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 76 314 0 02 May 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts Sushant Kafle Matt Huenerfauth 47 12 0 29 Jan 2018
A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom 111 3,562 0 08 Apr 2014