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A Self-Paced Reading Study on Processing Constructions with Different Degrees of Compositionality
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In: The 35th Annual Conference on Human Sentence Processing ; https://hal.archives-ouvertes.fr/hal-03620795 ; The 35th Annual Conference on Human Sentence Processing, Mar 2022, UC Santa Cruz, United States (2022)
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Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task ...
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Abstract:
Although transformer-based Neural Language Models demonstrate impressive performance on a variety of tasks, their generalization abilities are not well understood. They have been shown to perform strongly on subject-verb number agreement in a wide array of settings, suggesting that they learned to track syntactic dependencies during their training even without explicit supervision. In this paper, we examine the extent to which BERT is able to perform lexically-independent subject-verb number agreement (NA) on targeted syntactic templates. To do so, we disrupt the lexical patterns found in naturally occurring stimuli for each targeted structure in a novel fine-grained analysis of BERT's behavior. Our results on nonce sentences suggest that the model generalizes well for simple templates, but fails to perform lexically-independent syntactic generalization when as little as one attractor is present. ... : ACL 2022 (Findings) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.06889 https://arxiv.org/abs/2204.06889
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Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
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In: Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics ; SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-03312774 ; SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, Aug 2021, Online, France. pp.1-11, ⟨10.18653/v1/2021.starsem-1.1⟩ (2021)
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Not all arguments are processed equally: a distributional model of argument complexity
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03533181 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (4), pp.873-900. ⟨10.1007/s10579-021-09533-9⟩ (2021)
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Not all arguments are processed equally: a distributional model of argument complexity
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In: Springer Netherlands (2021)
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Decoding Word Embeddings with Brain-Based Semantic Features ...
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Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
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A comparative evaluation and analysis of three generations of Distributional Semantic Models ...
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Constructional associations trump lexical associations in processing valency coercion
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Common-Sense and Common-Knowledge. How much do Neural Language Models know about the world?
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In: http://etd.adm.unipi.it/theses/available/etd-03122021-000321/ (2021)
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I neologismi nelle edizioni del 2010 e del 2021 del dizionario "Zingarelli della lingua italiana"
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In: http://etd.adm.unipi.it/theses/available/etd-05102021-214231/ (2021)
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Large-scale Cross-lingual Word Sense Disambiguation using Parallel Corpora
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In: http://etd.adm.unipi.it/theses/available/etd-09112021-110903/ (2021)
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Probing the linguistic knowledge of word embeddings: A case study on colexification
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In: http://etd.adm.unipi.it/theses/available/etd-06212021-172428/ (2021)
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"Love is an open door but not a table". Come uomini e macchine 'comprendono' le metafore lessicalizzate e creative.
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In: http://etd.adm.unipi.it/theses/available/etd-03242021-214055/ (2021)
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Le interpretazioni del concetto di composizionalita' delle espressioni idiomatiche nella letteratura psicolinguistica
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In: http://etd.adm.unipi.it/theses/available/etd-09132021-151853/ (2021)
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