Jon Gauthier

According to our database, Jon Gauthier authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration.

Kinan Martin, Jon Gauthier, Canaan Breiss, Roger Levy

CoRR, 2023

The neural dynamics of auditory word recognition and integration.

Jon Gauthier, Roger Levy

CoRR, 2023

The neural dynamics of word recognition and integration.

Jon Gauthier, Roger Levy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language model acceptability judgements are not always robust to context.

Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2020

On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior.

Ethan Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Jointly learning motion verbs and frame semantics from natural language and grounded scenes.

Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A Systematic Assessment of Syntactic Generalization in Neural Language Models.

Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger Levy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models.

Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian, Roger Levy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Linking artificial and human neural representations of language.

Jon Gauthier, Roger Levy

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A rational model of syntactic bootstrapping.

Jon Gauthier, Roger Levy, Josh Tenenbaum

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Query-guided visual search.

Junyi Chu, Jon Gauthier, Roger Levy, Josh Tenenbaum, Laura Schulz

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Does the brain represent words? An evaluation of brain decoding studies of language understanding.

Jon Gauthier, Anna A. Ivanova

CoRR, 2018

Word learning and the acquisition of syntactic-semantic overhypotheses.

Jon Gauthier, Roger Levy, Josh Tenenbaum

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning.

Li Lucy, Jon Gauthier

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

2016

A Paradigm for Situated and Goal-Driven Language Learning.

Jon Gauthier, Igor Mordatch

CoRR, 2016

A Fast Unified Model for Parsing and Sentence Understanding.

Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016