John T. Hale

According to our database, John T. Hale authored at least 19 papers between 2005 and 2024.

Collaborative distances:

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

2024

Do LLMs learn a true syntactic universal?

John T. Hale, Milos Stanojevic

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multipath parsing in the brain.

Berta Franzluebbers, Donald Dunagan, Milos Stanojevic, Jan Buys, John T. Hale

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Modeling Structure-Building in the Brain With CCG Parsing and Large Language Models.

Milos Stanojevic, Jonathan R. Brennan, Donald Dunagan, Mark Steedman, John T. Hale

Cogn. Sci., July, 2023

2022

Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps.

Alexandre Pasquiou, Yair Lakretz, John T. Hale, Bertrand Thirion, Christophe Pallier

Proceedings of the International Conference on Machine Learning, 2022

2021

Quantifying Structural and Non-structural Expectations in Relative Clause Processing.

Zhong Chen, John T. Hale

Cogn. Sci., 2021

Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar.

Milos Stanojevic, Shohini Bhattasali, Donald Dunagan, Luca Campanelli, Mark Steedman, Jonathan Brennan, John T. Hale

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020

The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension.

Shohini Bhattasali, Jonathan Brennan, Wen-Ming Luh, Berta Franzluebbers, John T. Hale

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Text Genre and Training Data Size in Human-like Parsing.

John T. Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan

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

2018

Finding syntax in human encephalography with beam search.

John T. Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Entropy Reduction correlates with temporal lobe activity.

Matthew Nelson, Stanislas Dehaene, Christophe Pallier, John T. Hale

Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics, 2017

2016

Temporal Lobes as Combinatory Engines for both Form and Meaning.

Jixing Li, Jonathan Brennan, Adam Mahar, John T. Hale

Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016

2015

Modeling fMRI time courses with linguistic structure at various grain sizes.

John T. Hale, David E. Lutz, Wen-Ming Luh, Jonathan Brennan

Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, 2015

2014

Modeling sentence processing difficulty with a conditional probability calculator.

Zhong Chen, Tim Hunter, Ji Won Yun, John T. Hale

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2011

What a Rational Parser Would Do.

John T. Hale

Cogn. Sci., 2011

2009

Deforesting Logical Form.

Zhong Chen, John T. Hale

Proceedings of the Mathematics of Language, 10th and 11th Biennial Conference, 2009

Dependency Structures Derived from Minimalist Grammars.

Marisa Ferrara Boston, John T. Hale, Marco Kuhlmann

Proceedings of the Mathematics of Language, 10th and 11th Biennial Conference, 2009

2008

Surprising Parser Actions and Reading Difficulty.

Marisa Ferrara Boston, John T. Hale, Reinhold Kliegl, Shravan Vasishth

Proceedings of the ACL 2008, 2008

2005

Strict Deterministic Aspects of Minimalist Grammars.

John T. Hale, Edward P. Stabler

Proceedings of the Logical Aspects of Computational Linguistics, 2005

Promotion of disfluency in syntactic parallelism.

Andrew A. Cooper, John T. Hale

Proceedings of the ISCA Tutorial and Research Workshop (ITRW) on Disfluency in Spontaneous Speech, 2005