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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 3 4 5 6 Hits 1 – 20 of 104 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 Granularity in the Semantics of Comparison Aparicio, Helena; Chen, Curtis; Levy, Roger... In: Semantics and Linguistic Theory; Proceedings of SALT 31; 550-569 ; 2163-5951 (2022) BASE Show details 3 Competition from novel features drives scalar inferences in reference games Hu, Jennifer; Zaslavsky, Noga; Levy, Roger In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 4 Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses Vani, Pranali; Wilcox, Ethan Gotlieb; Levy, Roger In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 5 Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication Meylan, Stephan C.; Foushee, Ruthe; Bergelson, Elika... In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 6 On Factors Influencing Typing Time: Insights from a Viral Online Typing Game Chen, Robert; Levy, Roger; Eisape, Tiwalayo In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 7 Eye Movement Traces of Linguistic Knowledge Berzak, Yevgeni; Levy, Roger In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 8 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 9 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 10 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 11 Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games Shen, Judy Hanwen; Hofer, Matthias; Felbo, Bjarke... In: Association for Computational Linguistics (2021) BASE Show details 12 Cognitive Science Honors the Memory of Jeffrey Elman Aslin, Richard N; Levy, Roger P In: MIT Press (2021) BASE Show details 13 Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization Wilcox, Ethan; Thrush, Tristan; Levy, Roger In: Association for Computational Linguistics (2021) BASE Show details 14 Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study An, Aixiu; Qian, Peng; Wilcox, Ethan; Levy, Roger In: Association for Computational Linguistics (2021) Abstract: © 2019 Association for Computational Linguistics Neural language models have achieved state-of-the-art performances on many NLP tasks, and recently have been shown to learn a number of hierarchically-sensitive syntactic dependencies between individual words. However, equally important for language processing is the ability to combine words into phrasal constituents, and use constituent-level features to drive downstream expectations. Here we investigate neural models' ability to represent constituent-level features, using coordinated noun phrases as a case study. We assess whether different neural language models trained on English and French represent phrase-level number and gender features, and use those features to drive downstream expectations. Our results suggest that models use a linear combination of NP constituent number to drive CoordNP/verb number agreement. This behavior is highly regular and even sensitive to local syntactic context, however it differs crucially from observed human behavior. Models have less success with gender agreement. Models trained on large corpora perform best, and there is no obvious advantage for models trained using explicit syntactic supervision. URL: https://hdl.handle.net/1721.1/137251 BASE Hide details 15 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 16 Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models Wilcox, Ethan; Futrell, Richard; Qian, Peng... In: Association for Computational Linguistics (2021) BASE Show details 17 Neural language models as psycholinguistic subjects: Representations of syntactic state Levy, Roger P; Qian, Peng In: Association for Computational Linguistics (2021) BASE Show details 18 Linking artificial and human neural representations of language Gauthier, Jon; Levy, Roger In: Association for Computational Linguistics (2021) BASE Show details 19 Structural Supervision Improves Learning of Non-Local Grammatical Dependencies Wilcox, Ethan; Qian, Peng; Futrell, Richard... In: Association for Computational Linguistics (2021) BASE Show details 20 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 Page: 1 2 3 4 5 6

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