4 code implementations • NAACL 2021 • Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace
The cost of training such models (and the necessity of data access to do so) coupled with their utility motivates parameter sharing, i. e., the release of pretrained models such as ClinicalBERT.
1 code implementation • NAACL 2019 • Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi
Understanding procedural language requires reasoning about both hierarchical and temporal relations between events.
1 code implementation • 23 Feb 2017 • Wesley Tansey, Karl Pichotta, James G. Scott
We present an approach to deep estimation of discrete conditional probability distributions.
no code implementations • 7 Jun 2016 • Wesley Tansey, Karl Pichotta, James G. Scott
CDE Trend Filtering applies a k-th order graph trend filtering penalty to the unnormalized logits of a multinomial classifier network, with each edge in the graph corresponding to a neighboring point on a discretized version of the density.
no code implementations • ACL 2016 • Karl Pichotta, Raymond J. Mooney
There is a small but growing body of research on statistical scripts, models of event sequences that allow probabilistic inference of implicit events from documents.