Nicole Beckage

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 3

Top Topics

Machine Learning

Semantic Structure

Domain Specific

Top Venues

Publications

Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. CoRR (2021)
Richard Antonello, Nicole Beckage, Javier Turek, Alexander Huth
Selecting Informative Contexts Improves Language Model Fine-tuning. ACL/IJCNLP (1) (2021)
Marius Catalin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. CoRR (2019)
Nicole Beckage, Ariel Aguilar, Eliana Colunga
Modeling Lexical Acquisition Through Networks. CogSci (2015)
Nicole Beckage, Michael Mozer, Eliana Colunga
Predicting a Child's Trajectory of Lexical Acquisition. CogSci (2015)
Nicole Beckage, Eliana Colunga
Using the words toddlers know now to predict the words they will learn next. CogSci (2013)
Nicole Beckage, Michael S. Vitevitch, Alexander Mehler, Eliana Colunga
Using Complex Network Analysis in the Cognitive Sciences. CogSci (2013)
Nicole Beckage, Mark Steyvers, Carter T. Butts
Route choice in individuals - semantic network navigation. CogSci (2012)