no code implementations • 19 Mar 2021 • Nicholas Egan, Oleg Vasilyev, John Bohannon
The goal of a summary is to concisely state the most important information in a document.
1 code implementation • 14 Dec 2020 • Nicholas Egan, John Bohannon
The prevalence of ambiguous acronyms make scientific documents harder to understand for humans and machines alike, presenting a need for models that can automatically identify acronyms in text and disambiguate their meaning.
1 code implementation • 13 Oct 2020 • Oleg Vasilyev, Vedant Dharnidharka, Nicholas Egan, Charlene Chambliss, John Bohannon
We explore the sensitivity of a document summary quality estimator, BLANC, to human assessment of qualities for the same summaries.
no code implementations • 9 Oct 2018 • Nicholas Egan, Jeffrey Zhang, Kevin Shen
The Generator of a Generative Adversarial Network (GAN) is trained to transform latent vectors drawn from a prior distribution into realistic looking photos.