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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) Abstract: Copyright © 2020 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society (CSS) A key component of research on human sentence processing is to characterize the processing difficulty associated with the comprehension of words in context. Models that explain and predict this difficulty can be broadly divided into two kinds, expectation-based and memory-based. In this work, we present a new model of incremental sentence processing difficulty that unifies and extends key features of both kinds of models. Our model, lossy-context surprisal, holds that the processing difficulty at a word in context is proportional to the surprisal of the word given a lossy memory representation of the context—that is, a memory representation that does not contain complete information about previous words. We show that this model provides an intuitive explanation for an outstanding puzzle involving interactions of memory and expectations: language-dependent structural forgetting, where the effects of memory on sentence processing appear to be moderated by language statistics. Furthermore, we demonstrate that dependency locality effects, a signature prediction of memory-based theories, can be derived from lossy-context surprisal as a special case of a novel, more general principle called information locality. URL: https://hdl.handle.net/1721.1/135946 BASE Hide details 17 A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ... Wilcox, Ethan Gotlieb; Vani, Pranali; Levy, Roger P.. - : arXiv, 2021 BASE Show 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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