Understanding Narrative: Computational Approaches to Detecting Narrative Frames. - Eva Portelance; Andrew Piper (DH, 2017)

A generalized parsing framework for Abstract Grammars. - Daniel Harasim; Chris Bruno; Eva Portelance; Timothy J. O'Donnell (CoRR, 2017)

Mildly context sensitive grammar induction and variational bayesian inference. - Eva Portelance; Leon Bergen; Chris Bruno; Timothy J. O'Donnell (CoRR, 2017)

Predicting Age of Acquisition in Early Word Learning Using Recurrent Neural Networks. - Eva Portelance; Judith Degen; Michael C. Frank (CogSci, 2020)

The Emergence of the Shape Bias Results from Communicative Efficiency. - Eva Portelance; Michael C. Frank; Dan Jurafsky; Alessandro Sordoni; Romain Laroche (CoNLL, 2021)

Predicting Age of Acquisition for Children's Early Vocabulary in Five Languages Using Language Model Surprisal. - Eva Portelance; Yuguang Duan; Michael C. Frank; Gary Lupyan (Cogn. Sci., 2023)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulation. - Benno Krojer; Dheeraj Vattikonda; Luis Lara; Varun Jampani; Eva Portelance; Chris Pal; Siva Reddy (NeurIPS, 2024)

Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models. - Eva Portelance; Siva Reddy; Timothy J. O'Donnell (CoRR, 2024)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. - Benno Krojer; Dheeraj Vattikonda; Luis Lara; Varun Jampani; Eva Portelance; Christopher Pal; Siva Reddy (CoRR, 2024)

VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment. - Amirhossein Kazemnejad; Milad Aghajohari; Eva Portelance; Alessandro Sordoni; Siva Reddy; Aaron C. Courville; Nicolas Le Roux (CoRR, 2024)

"On the goals of linguistic theory": Revisiting Chomskyan theories in the era of AI. - Eva Portelance; Masoud Jasbi (CoRR, 2024)

Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model. - Eva Portelance; Michael C. Frank; Dan Jurafsky (Cogn. Sci., 2024)