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Domain-Adversarial Based Model with Phonological Knowledge for Cross-Lingual Speech Recognition
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In: http://infoscience.epfl.ch/record/291292 (2022)
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Online Literacy Instruction for Young Korean Dual Language Learners in General Education
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In: J Behav Educ (2022)
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From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network ...
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Temporal trends in incidence and mortality rates of laryngeal cancer at the global, regional and national levels, 1990–2017
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In: BMJ Open (2021)
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Development and Validation of an Unethical Professional Behavior Tendencies Scale for Student Teachers
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In: Front Psychol (2021)
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Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study
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In: J Med Internet Res (2021)
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The second language acquisition of the Chinese aspect marker "le"
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Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. ⟨10.1140/epjc/s10052-020-08562-y⟩ (2020)
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Lens on China: Intermediate and Advanced Readings on Film for Learning Chinese
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In: Faculty Books (2020)
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Neural representations of the concepts in simple sentences: Concept activation prediction and context effects ...
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Neural representations of the concepts in simple sentences: Concept activation prediction and context effects ...
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Abstract:
Although it has been possible to identify individual concepts from a concept's brain activation pattern, therehave been significant obstacles to identifying a proposition from its fMRI signature. Here we demonstrate theability to decode individual prototype sentences from readers’ brain activation patterns, by using theory-drivenregions of interest and semantic properties. It is possible to predict the fMRI brain activation patterns evoked bypropositions and words which are entirely new to the model with reliably above-chance rank accuracy. The twocore components implemented in the model that reflect the theory were the choice of intermediate semanticfeatures and the brain regions associated with the neurosemantic dimensions. This approach also predicts theneural representation of object nouns across participants, studies, and sentence contexts. Moreover, we find thatthe neural representation of an agent-verb-object proto-sentence is more accurately characterized by the neuralsignatures of its components as ...
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Keyword:
Neuroscience
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URL: https://dx.doi.org/10.1184/r1/12455786 https://kilthub.cmu.edu/articles/Neural_representations_of_the_concepts_in_simple_sentences_Concept_activation_prediction_and_context_effects/12455786
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The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements ...
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The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements ...
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Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $
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In: http://infoscience.epfl.ch/record/275278 (2020)
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Conversational topics of social media messages associated with state-level mental distress rates
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In: J Ment Health (2020)
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