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Syntactic dependencies correspond to word pairs with high mutual information
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In: Association for Computational Linguistics (2021)
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A Systematic Assessment of Syntactic Generalization in Neural Language Models
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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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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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Neural language models as psycholinguistic subjects: Representations of syntactic state
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In: Association for Computational Linguistics (2021)
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Syntactic dependencies correspond to word pairs with high mutual information
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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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Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models ...
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Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models ...
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What if This Modified That? Syntactic Interventions with Counterfactual Embeddings ...
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A Systematic Assessment of Syntactic Generalization in Neural Language Models ...
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Composition is the core driver of the language-selective network
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In: MIT Press (2019)
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Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study ...
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