Eva Portelance

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Mildly Context Sensitive

Natural Language Processing

Variational Bayesian Inference

Top Venues

Publications

Eva Portelance, Michael C. Frank, Dan Jurafsky
Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model. Cogn. Sci. 48 (5) (2024)
Eva Portelance, Siva Reddy, Timothy J. O'Donnell
Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models. CoRR (2024)
Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. CoRR (2024)
Eva Portelance, Yuguang Duan, Michael C. Frank, Gary Lupyan
Predicting Age of Acquisition for Children's Early Vocabulary in Five Languages Using Language Model Surprisal. Cogn. Sci. 47 (9) (2023)
Eva Portelance, Michael C. Frank, Dan Jurafsky
Learning the meanings of function words from grounded language using a visual question answering model. CoRR (2023)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR (2021)
Eva Portelance, Judith Degen, Michael C. Frank
Predicting Age of Acquisition in Early Word Learning Using Recurrent Neural Networks. CogSci (2020)
Eva Portelance, Leon Bergen, Chris Bruno, Timothy J. O'Donnell
Mildly context sensitive grammar induction and variational bayesian inference. CoRR (2017)
Eva Portelance, Andrew Piper
Understanding Narrative: Computational Approaches to Detecting Narrative Frames. DH (2017)
Daniel Harasim, Chris Bruno, Eva Portelance, Timothy J. O'Donnell
A generalized parsing framework for Abstract Grammars. CoRR (2017)