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Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models ...
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Arguments for top-down derivations in syntax
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5264 ; 2473-8689 (2022)
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Structure Here, Bias There: Hierarchical Generalization by Jointly Learning Syntactic Transformations
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Comparing methods of tree-construction across mildly context-sensitive formalisms
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In: Proceedings of the Society for Computation in Linguistics (2021)
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The Role of Linguistic Features in Domain Adaptation: TAG Parsing of Questions ...
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Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora ...
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Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora ...
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Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling ...
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The Role of Linguistic Features in Domain Adaptation: TAG Parsing of Questions
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Primitive Asymmetric C-Command Derives X̄-Theory
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In: North East Linguistics Society (2020)
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Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 125-140 (2020) (2020)
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Jabberwocky Parsing: Dependency Parsing with Lexical Noise ...
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Open Sesame: Getting Inside BERT's Linguistic Knowledge ...
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A Unified Analysis of Reflexives and Reciprocals in Synchronous Tree Adjoining Grammar
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Jabberwocky Parsing: Dependency Parsing with Lexical Noise
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks ...
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Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages ...
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