Search Results for author: Karl Pichotta

Found 8 papers, 3 papers with code

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

1 code implementation 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.

Benchmarking Hierarchical Script Knowledge

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.

Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning

1 code implementation23 Feb 2017 Wesley Tansey, Karl Pichotta, James G. Scott

We present an approach to deep estimation of discrete conditional probability distributions.

Better Conditional Density Estimation for Neural Networks

no code implementations7 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.

Density Estimation

Using Sentence-Level LSTM Language Models for Script Inference

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.

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