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Measuring the Reading-Attention Relationship: Functional Differences in Working Memory Activity During Single Word Decoding in Children With and Without Reading Disorder
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| 2 |
Acquisition of Joint Attention Skills in Children with Cortical Visual Impairment
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| 3 |
Speaking Style Variability in Speaker Discrimination by Humans and Machines
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| 4 |
Evidence from ERP and Eye Movements as Markers of Language Dysfunction in Dyslexia
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In: ISSN: 2076-3425 ; Brain Sciences ; https://hal.archives-ouvertes.fr/hal-03641338 ; Brain Sciences, MDPI, 2022, 12 (1), pp.73. ⟨10.3390/brainsci12010073⟩ (2022)
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| 6 |
Working memory and domain in DLD (Larson & Ellis Weismer, 2022) ...
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| 7 |
Working memory and domain in DLD (Larson & Ellis Weismer, 2022) ...
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| 8 |
白噪音對注意力不足過動症學童課堂注意力表現之影響 ; Effects of White Noise on Attention in the Classroom for Children with ADHD
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| 9 |
Memory and linguistic demands of the Token Test (Pham et al., 2022) ...
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| 10 |
Memory and linguistic demands of the Token Test (Pham et al., 2022) ...
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| 13 |
Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
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| 14 |
Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
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| 15 |
Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
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| 16 |
Effects of CPAP on Language Recovery in Post-Stroke Aphasia: A Review of Recent Literature
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In: Brain Sciences; Volume 12; Issue 3; Pages: 379 (2022)
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| 17 |
A Character String-Based Stemming for Morphologically Derivative Languages
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In: Information; Volume 13; Issue 4; Pages: 170 (2022)
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| 18 |
A Quantum Language-Inspired Tree Structural Text Representation for Semantic Analysis
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In: Mathematics; Volume 10; Issue 6; Pages: 914 (2022)
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Abstract:
Text representation is an important topic in the field of natural language processing, which can effectively transfer knowledge to downstream tasks. To extract effective semantic information from text with unsupervised methods, this paper proposes a quantum language-inspired tree structural text representation model to study the correlations between words with variable distance for semantic analysis. Combining the different semantic contributions of associated words in different syntax trees, a syntax tree-based attention mechanism is established to highlight the semantic contributions of non-adjacent associated words and weaken the semantic weight of adjacent non-associated words. Moreover, the tree-based attention mechanism includes not only the overall information of entangled words in the dictionary but also the local grammatical structure of word combinations in different sentences. Experimental results on semantic textual similarity tasks show that the proposed method obtains significant performances over the state-of-the-art sentence embeddings.
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Keyword:
attention mechanism; natural language processing; quantum language-inspired; semantic analysis; syntax tree
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URL: https://doi.org/10.3390/math10060914
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| 19 |
What Is Going on with Visual Attention in Reading and Dyslexia? A Critical Review of Recent Studies
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In: Brain Sciences; Volume 12; Issue 1; Pages: 87 (2022)
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| 20 |
Should Neurosurgeons Try to Preserve Non-Traditional Brain Networks? A Systematic Review of the Neuroscientific Evidence
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In: Journal of Personalized Medicine; Volume 12; Issue 4; Pages: 587 (2022)
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