Jon Gauthier | DeepAI

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∙ 06/09/2023

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

Textless self-supervised speech models have grown in capabilities in rec...

9 Kinan Martin, et al. ∙

∙ 05/22/2023

The neural dynamics of auditory word recognition and integration

Listeners recognize and integrate words in rapid and noisy everyday spee...

0 Jon Gauthier, et al. ∙

∙ 12/18/2022

Language model acceptability judgements are not always robust to context

Targeted syntactic evaluations of language models ask whether models sho...

11 Koustuv Sinha, et al. ∙

∙ 06/02/2020

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

Human reading behavior is tuned to the statistics of natural language: t...

0 Ethan Gotlieb Wilcox, et al. ∙

∙ 05/07/2020

A Systematic Assessment of Syntactic Generalization in Neural Language Models

State-of-the-art neural network models have achieved dizzyingly low perp...

0 Jennifer Hu, et al. ∙

∙ 10/02/2019

Linking artificial and human neural representations of language

What information from an act of sentence understanding is robustly repre...

0 Jon Gauthier, et al. ∙

∙ 06/02/2018

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

Language decoding studies have identified word representations which can...

0 Jon Gauthier, et al. ∙

∙ 05/14/2018

Word learning and the acquisition of syntactic--semantic overhypotheses

Children learning their first language face multiple problems of inducti...

0 Jon Gauthier, et al. ∙

∙ 05/31/2017

Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning

Distributional word representation methods exploit word co-occurrences t...

0 Li Lucy, et al. ∙

∙ 10/12/2016

A Paradigm for Situated and Goal-Driven Language Learning

A distinguishing property of human intelligence is the ability to flexib...

0 Jon Gauthier, et al. ∙

∙ 03/19/2016

A Fast Unified Model for Parsing and Sentence Understanding

Tree-structured neural networks exploit valuable syntactic parse informa...

0 Samuel R. Bowman, et al. ∙

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