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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 Page: 1 2 Hits 1 – 20 of 34 1 Dependency locality as an explanatory principle for word order Futrell, Richard; Levy, Roger P; Gibson, Edward A In: Prof. Levy (2022) BASE Show details 2 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 3 Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations Wilcox, Ethan; Levy, Roger P; Futrell, Richard In: Association for Computational Linguistics (2021) BASE Show details 4 Cognitive Science Honors the Memory of Jeffrey Elman Aslin, Richard N; Levy, Roger P In: MIT Press (2021) BASE Show details 5 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 6 Neural language models as psycholinguistic subjects: Representations of syntactic state Levy, Roger P; Qian, Peng In: Association for Computational Linguistics (2021) BASE Show details 7 Structural Supervision Improves Learning of Non-Local Grammatical Dependencies Wilcox, Ethan; Qian, Peng; Futrell, Richard... In: Association for Computational Linguistics (2021) BASE Show details 8 Maze Made Easy: Better and easier measurement of incremental processing difficulty Boyce, Veronica; Futrell, Richard; Levy, Roger P In: Other repository (2021) BASE Show details 9 Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication ... Meylan, Stephan C.; Foushee, Ruthe; Bergelson, Elika. - : arXiv, 2021 BASE Show details 10 Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication. Levy, Roger P; Meylan, Stephan C; Foushee, Ruthe. - 2021 BASE Show details 11 Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward Ryskin, Rachel; Levy, Roger P; Fedorenko, Evelina In: Prof. Fedorenko (2021) BASE Show details 12 Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference Zhan, Meilin; Levy, Roger P; Kehler, Andrew In: PLoS (2021) BASE Show details 13 Assessing Language Proficiency from Eye Movements in Reading Berzak, Yevgeni; Katz, Boris; Levy, Roger P In: Association for Computational Linguistics (2021) BASE Show details 14 Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections von der Malsburg, Titus; Poppels, Till; Levy, Roger P In: Sage (2021) BASE Show details 15 Language Learning and Processing in People and Machines Nematzadeh, Aida; Futrell, Richard; Levy, Roger P In: Association for Computational Linguistics (2021) BASE Show details 16 Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing Futrell, Richard; Gibson, Edward; Levy, Roger P In: Wiley (2021) BASE Show details 17 A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ... Wilcox, Ethan Gotlieb; Vani, Pranali; Levy, Roger P.. - : arXiv, 2021 Abstract: We present a targeted, scaled-up comparison of incremental processing in humans and neural language models by collecting by-word reaction time data for sixteen different syntactic test suites across a range of structural phenomena. Human reaction time data comes from a novel online experimental paradigm called the Interpolated Maze task. We compare human reaction times to by-word probabilities for four contemporary language models, with different architectures and trained on a range of data set sizes. We find that across many phenomena, both humans and language models show increased processing difficulty in ungrammatical sentence regions with human and model `accuracy' scores (a la Marvin and Linzen(2018)) about equal. However, although language model outputs match humans in direction, we show that models systematically under-predict the difference in magnitude of incremental processing difficulty between grammatical and ungrammatical sentences. Specifically, when models encounter syntactic violations they ... : To appear at ACL 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2106.03232 https://dx.doi.org/10.48550/arxiv.2106.03232 BASE Hide details 18 A Rate–Distortion view of human pragmatic reasoning Zaslavsky, Noga; Hu, Jennifer; Levy, Roger P. In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 19 Towards a Referential Theory of Ellipsis Poppels, Till. - : eScholarship, University of California, 2020 BASE Show details 20 Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ... Malsburg, Titus Von Der; Poppels, Till; Levy, Roger P.. - : SAGE Journals, 2020 BASE Show details Page: 1 2

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