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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 A Systematic Assessment of Syntactic Generalization in Neural Language Models Hu, Jennifer; Gauthier, Jon; Qian, Peng... In: Association for Computational Linguistics (2021) BASE Show details 2 SyntaxGym: An Online Platform for Targeted Evaluation of Language Models Gauthier, Jon; Hu, Jennifer; Wilcox, Ethan... In: Association for Computational Linguistics (2021) BASE Show details 3 SyntaxGym: An Online Platform for Targeted Evaluation of Language Models Gauthier, Jon; Hu, Jennifer; Wilcox, Ethan; Qian, Peng; Levy, Roger P In: Association for Computational Linguistics (2021) Abstract: Targeted syntactic evaluations have yielded insights into the generalizations learned by neural network language models. However, this line of research requires an uncommon confluence of skills: both the theoretical knowledge needed to design controlled psycholinguistic experiments, and the technical proficiency needed to train and deploy large-scale language models. We present SyntaxGym, an online platform designed to make targeted evaluations accessible to both experts in NLP and linguistics, reproducible across computing environments, and standardized following the norms of psycholinguistic experimental design. This paper releases two tools of independent value for the computational linguistics community: 1. A website, syntaxgym.org, which centralizes the process of targeted syntactic evaluation and provides easy tools for analysis and visualization; 2. Two command-line tools, syntaxgym and lm-zoo, which allow any user to reproduce targeted syntactic evaluations and general language model inference on their own machine. ; NIH (Award T32NS105587) URL: https://hdl.handle.net/1721.1/138281.2 BASE Hide details 4 Linking artificial and human neural representations of language Gauthier, Jon; Levy, Roger In: Association for Computational Linguistics (2021) BASE Show details 5 A Systematic Assessment of Syntactic Generalization in Neural Language Models ... Hu, Jennifer; Gauthier, Jon; Qian, Peng. - : arXiv, 2020 BASE Show details 6 Does the brain represent words? An evaluation of brain decoding studies of language understanding ... Gauthier, Jon; Ivanova, Anna. - : arXiv, 2018 BASE Show details 7 Word learning and the acquisition of syntactic--semantic overhypotheses ... Gauthier, Jon; Levy, Roger; Tenenbaum, Joshua B.. - : arXiv, 2018 BASE Show details

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