3 citations · 3 across the 5 of their papers we have counts for
5 papers
LLMs-augmented Contextual Bandit
Ali Baheri, Cecilia O. Alm
Contextual bandits have emerged as a cornerstone in reinforcement learning, enabling systems to make decisions with partial feedback. However, as contexts grow in complexity, tradi…
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 +1
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 me…
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm
Much of the world's population experiences some form of disability during their lifetime. Caution must be exercised while designing natural language processing (NLP) systems to pre…
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues
Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth
Prosodic cues in conversational speech aid listeners in discerning a message. We investigate whether acoustic cues in spoken dialogue can be used to identify the importance of indi…
Job-related discourse on social media
Tong Liu, Christopher M. Homan, Cecilia Ovesdotter Alm +3
Working adults spend nearly one third of their daily time at their jobs. In this paper, we study job-related social media discourse from a community of users. We use both crowdsour…