136 citations · 407 across the 32 of their papers we have counts for
10 papers · 1 filter
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process
Brent Hecht, Lauren Wilcox, Jeffrey P. Bigham +9
The computing research community needs to work much harder to address the downsides of our innovations. Between the erosion of privacy, threats to democracy, and automation's effec…
A Survey of NLP-Related Crowdsourcing HITs: what works and what does not
Jessica Huynh, Jeffrey Bigham, Maxine Eskenazi
Crowdsourcing requesters on Amazon Mechanical Turk (AMT) have raised questions about the reliability of the workers. The AMT workforce is very diverse and it is not possible to mak…
Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots
Jason Wu, Xiaoyi Zhang, Jeff Nichols +1
Automated understanding of user interfaces (UIs) from their pixels can improve accessibility, enable task automation, and facilitate interface design without relying on developers…
Does Pretraining for Summarization Require Knowledge Transfer?
Kundan Krishna, Jeffrey Bigham, Zachary C. Lipton
Pretraining techniques leveraging enormous datasets have driven recent advances in text summarization. While folk explanations suggest that knowledge transfer accounts for pretrain…
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech
Vikramjit Mitra, Zifang Huang, Colin Lea +8
Dysfluencies and variations in speech pronunciation can severely degrade speech recognition performance, and for many individuals with moderate-to-severe speech disorders, voice op…
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham
Open-domain neural dialogue models have achieved high performance in response ranking and evaluation tasks. These tasks are formulated as a binary classification of responses given…