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1
Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis
In: JMIR Med Inform (2021)
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2
Perceptual and Semantic Representations at Encoding Contribute to True and False Recognition of Objects
In: J Neurosci (2021)
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3
Perceptual and semantic representations at encoding contribute to true and false recognition of objects
Naspi, Loris; Hoffman, Paul; Devereux, Barry. - : Society for Neuroscience, 2021
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4
Eliciting semantic properties: methods and applications [<Journal>]
Chaigneau, Sergio E. [Verfasser]; Canessa, Enrique [Verfasser]; Lenci, Alessandro [Verfasser].
DNB Subject Category Language
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5
Feature2Vec: Distributional semantic modelling of human property knowledge ...
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6
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context. ...
Klimovich-Gray, Anastasia; Tyler, Lorraine; Randall, Billi. - : Apollo - University of Cambridge Repository, 2019
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7
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context.
Klimovich-Gray, Anastasia; Tyler, Lorraine; Randall, Billi. - : Society for Neuroscience, 2019. : J Neurosci, 2019
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8
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context
Klimovich-Gray, Anastasia; Tyler, Lorraine K.; Randall, Billi. - : Society for Neuroscience, 2019
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9
Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
Devereux, Barry J.; Clarke, Alex; Tyler, Lorraine K.. - : Nature Research, 2018
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10
Oscillatory Dynamics of Perceptual to Conceptual Transformations in the Ventral Visual Pathway
Clarke, Alex; Devereux, Barry J.; Tyler, Lorraine K.. - : Massachusetts Institute of Technology Press, 2018
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11
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge ...
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12
Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
Devereux, Barry J.; Clarke, Alex; Tyler, Lorraine K.. - : Nature Publishing Group UK, 2018
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13
Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics. ...
Zhuang, Jie; Devereux, Barry J. - : Apollo - University of Cambridge Repository, 2017
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14
Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics.
Zhuang, Jie; Devereux, Barry J. - : Taylor & Francis, 2017. : Language, Cognition and Neuroscience, 2017
Abstract: This is the final version of the article. It first appeared from Taylor and Francis via https://doi.org/10.1080/23273798.2016.1241886 ; As spoken language unfolds over time the speech input transiently activates multiple candidates at different levels of the system - phonological, lexical, and syntactic - which in turn leads to short-lived between-candidate competition. In an fMRI study, we investigated how different kinds of linguistic competition may be modulated by the presence or absence of a prior context (Tyler 1984; Tyler et al. 2008). We found significant effects of lexico-phonological competition for isolated words, but not for words in short phrases, with high competition yielding greater activation in left inferior frontal gyrus (LIFG) and posterior temporal regions. This suggests that phrasal contexts reduce lexico-phonological competition by eliminating form-class inconsistent cohort candidates. A corpus-derived measure of lexico-syntactic competition was associated with greater activation in LIFG for verbs in phrases, but not for isolated verbs, indicating that lexico-syntactic information is boosted by the phrasal context. Together, these findings indicate that LIFG plays a general role in resolving different kinds of linguistic competition. ; This research was funded by an EPSRC, UK, grant to Lorraine K. Tyler [grant number EP/F030061/1], and by the European Research Council under the European Commission Seventh Fra- mework Programme (FP7/2007- 2013) [grant number 249640] to Lorraine K. Tyler.
Keyword: argument structure; cohort competition; corpus data; lexico-syntactic competition; subcategorisation frames
URL: https://doi.org/10.17863/CAM.6414
https://www.repository.cam.ac.uk/handle/1810/261243
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15
From Perception to Conception: How Meaningful Objects Are Processed over Time
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16
Phonological and syntactic competition effects in spoken word recognition: evidence from corpus-based statistics
Zhuang, Jie; Devereux, Barry J.. - : Routledge, 2017
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17
Decoding the Cortical Dynamics of Sound-Meaning Mapping
Kocagoncu, Ece; Clarke, Alex; Devereux, Barry J.. - : Society for Neuroscience, 2017
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18
Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing.
Devereux, Barry J; Taylor, Kirsten I; Randall, Billi. - : Wiley, 2016. : Cogn Sci, 2016
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19
Predicting the Time Course of Individual Objects with MEG
Clarke, Alex; Devereux, Barry J.; Randall, Billi. - : Oxford University Press, 2015
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20
Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing
Devereux, Barry J.; Taylor, Kirsten I.; Randall, Billi. - : John Wiley and Sons Inc., 2015
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