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Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
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In: Association for Computational Linguistics (2021)
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SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
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In: Association for Computational Linguistics (2021)
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Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
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In: Association for Computational Linguistics (2021)
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Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
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In: Association for Computational Linguistics (2021)
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SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
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In: Association for Computational Linguistics (2021)
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Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
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In: Association for Computational Linguistics (2021)
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Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
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In: Association for Computational Linguistics (2021)
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What do RNN Language Models Learn about Filler–Gap Dependencies?
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In: Association for Computational Linguistics (2021)
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A Targeted Assessment of Incremental Processing in Neural Language Models and Humans ...
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A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ...
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12 |
Which Presuppositions are Subject to Contextual Felicity Constraints?
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In: Semantics and Linguistic Theory; Proceedings of SALT 31; 345-364 ; 2163-5951 (2021)
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A Systematic Assessment of Syntactic Generalization in Neural Language Models ...
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14 |
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations ...
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15 |
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study ...
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RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency ...
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