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Jon Gauthier
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Conference and Workshop Papers
- 2023
- [c13]Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. ACL (1) 2023: 6043-6063 - [c12]Jon Gauthier, Roger Levy:
The neural dynamics of word recognition and integration. EMNLP 2023: 980-995 - [c11]Kinan Martin, Jon Gauthier, Canaan Breiss, Roger Levy:
Probing Self-supervised Speech Models for Phonetic and Phonemic Information: A Case Study in Aspiration. INTERSPEECH 2023: 251-255 - 2020
- [c10]Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian, Roger Levy:
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models. ACL (demo) 2020: 70-76 - [c9]Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger Levy:
A Systematic Assessment of Syntactic Generalization in Neural Language Models. ACL 2020: 1725-1744 - [c8]Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum:
Jointly learning motion verbs and frame semantics from natural language and grounded scenes. CogSci 2020 - [c7]Ethan Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy:
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. CogSci 2020 - 2019
- [c6]Junyi Chu, Jon Gauthier, Roger Levy, Josh Tenenbaum, Laura Schulz:
Query-guided visual search. CogSci 2019: 1520 - [c5]Jon Gauthier, Roger Levy, Josh Tenenbaum:
A rational model of syntactic bootstrapping. CogSci 2019: 1815-1821 - [c4]Jon Gauthier, Roger Levy:
Linking artificial and human neural representations of language. EMNLP/IJCNLP (1) 2019: 529-539 - 2018
- [c3]Jon Gauthier, Roger Levy, Josh Tenenbaum:
Word learning and the acquisition of syntactic-semantic overhypotheses. CogSci 2018 - 2017
- [c2]Li Lucy, Jon Gauthier:
Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning. RoboNLP@ACL 2017: 76-85 - 2016
- [c1]Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts:
A Fast Unified Model for Parsing and Sentence Understanding. ACL (1) 2016
Informal and Other Publications
- 2023
- [i11]Jon Gauthier, Roger Levy:
The neural dynamics of auditory word recognition and integration. CoRR abs/2305.13388 (2023) - [i10]Kinan Martin, Jon Gauthier, Canaan Breiss, Roger Levy:
Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration. CoRR abs/2306.06232 (2023) - 2022
- [i9]Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. CoRR abs/2212.08979 (2022) - 2020
- [i8]Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger P. Levy:
A Systematic Assessment of Syntactic Generalization in Neural Language Models. CoRR abs/2005.03692 (2020) - [i7]Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy:
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. CoRR abs/2006.01912 (2020) - 2019
- [i6]Jon Gauthier, Roger Levy:
Linking artificial and human neural representations of language. CoRR abs/1910.01244 (2019) - 2018
- [i5]Jon Gauthier, Roger Levy, Joshua B. Tenenbaum:
Word learning and the acquisition of syntactic-semantic overhypotheses. CoRR abs/1805.04988 (2018) - [i4]Jon Gauthier, Anna A. Ivanova:
Does the brain represent words? An evaluation of brain decoding studies of language understanding. CoRR abs/1806.00591 (2018) - 2017
- [i3]Li Lucy, Jon Gauthier:
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning. CoRR abs/1705.11168 (2017) - 2016
- [i2]Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts:
A Fast Unified Model for Parsing and Sentence Understanding. CoRR abs/1603.06021 (2016) - [i1]Jon Gauthier, Igor Mordatch:
A Paradigm for Situated and Goal-Driven Language Learning. CoRR abs/1610.03585 (2016)
Coauthor Index
aka: Roger P. Levy
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