no code implementations • 3 Jun 2023 • Christopher Michael Rytting, Taylor Sorensen, Lisa Argyle, Ethan Busby, Nancy Fulda, Joshua Gubler, David Wingate
This provides exciting evidence that language models can serve as a critical advance in the coding of open-ended texts in a variety of applications.
no code implementations • 14 Sep 2022 • Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua Gubler, Christopher Rytting, David Wingate
We propose and explore the possibility that language models can be studied as effective proxies for specific human sub-populations in social science research.
no code implementations • loresmt (COLING) 2022 • Nathaniel R. Robinson, Cameron J. Hogan, Nancy Fulda, David R. Mortensen
Our experiments suggest that for some languages beyond a threshold of authentic data, back-translation augmentation methods are counterproductive, while cross-lingual transfer from a sufficiently related language is preferred.
no code implementations • ACL 2022 • Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate
Pre-trained language models derive substantial linguistic and factual knowledge from the massive corpora on which they are trained, and prompt engineering seeks to align these models to specific tasks.
1 code implementation • NeurIPS 2020 • Zachary C. Brown, Nathaniel Robinson, David Wingate, Nancy Fulda
It is notoriously difficult to control the behavior of artificial neural networks such as generative neural language models.
no code implementations • 14 Jul 2020 • Will Pearce, Nick Landers, Nancy Fulda
The merits of machine learning in information security have primarily focused on bolstering defenses.
no code implementations • WS 2020 • Orion Weller, Nancy Fulda, Kevin Seppi
Understanding and identifying humor has been increasingly popular, as seen by the number of datasets created to study humor.
no code implementations • 25 Sep 2019 • Nancy Fulda
Many applications of linguistic embedding models rely on their value as pre-trained inputs for end-to-end tasks such as dialog modeling, machine translation, or question answering.
no code implementations • 14 Aug 2018 • David Wingate, William Myers, Nancy Fulda, Tyler Etchart
Classic grammars and regular expressions can be used for a variety of purposes, including parsing, intent detection, and matching.
no code implementations • 9 Mar 2017 • Nancy Fulda, Daniel Ricks, Ben Murdoch, David Wingate
Autonomous agents must often detect affordances: the set of behaviors enabled by a situation.