6 citations · 10 across the 4 of their papers we have counts for
4 papers
Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation
Nicholas Egan, Oleg Vasilyev, John Bohannon
The goal of a summary is to concisely state the most important information in a document. With this principle in mind, we introduce new reference-free summary evaluation metrics th…
Primer AI's Systems for Acronym Identification and Disambiguation
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 acro…
Sensitivity of BLANC to human-scored qualities of text summaries
Oleg Vasilyev, Vedant Dharnidharka, Nicholas Egan +2
We explore the sensitivity of a document summary quality estimator, BLANC, to human assessment of qualities for the same summaries. In our human evaluations, we distinguish five su…
Generalized Latent Variable Recovery for Generative Adversarial Networks
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. These latent vectors h…