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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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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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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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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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Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine
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In: Algorithms; Volume 15; Issue 5; Pages: 143 (2022)
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Behavior Problems and Social Competence in Fragile X Syndrome: A Systematic Review
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In: Genes; Volume 13; Issue 2; Pages: 280 (2022)
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Evidence from ERP and Eye Movements as Markers of Language Dysfunction in Dyslexia
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In: Brain Sciences; Volume 12; Issue 1; Pages: 73 (2022)
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Deep Learning with Word Embedding Improves Kazakh Named-Entity Recognition
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In: Information; Volume 13; Issue 4; Pages: 180 (2022)
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Electrophysiological Correlates of Subjective Cognitive Demand in Cochlear Implant Users during Listening in Noise
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Joint learning of morphology and syntax with cross-level contextual information flow
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In: 2022 ; 1 ; 33 (2022)
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Abstract:
© 2022 The Authors. Published by Cambridge University Press. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: 10.1017/S1351324921000371 ; We propose an integrated deep learning model for morphological segmentation, morpheme tagging, part-of-speech (POS) tagging, and syntactic parsing onto dependencies, using cross-level contextual information flow for every word, from segments to dependencies, with an attention mechanism at horizontal flow. Our model extends the work of Nguyen and Verspoor (2018) on joint POS tagging and dependency parsing to also include morphological segmentation and morphological tagging. We report our results on several languages. Primary focus is agglutination in morphology, in particular Turkish morphology, for which we demonstrate improved performance compared to models trained for individual tasks. Being one of the earlier efforts in joint modeling of syntax and morphology along with dependencies, we discuss prospective guidelines for future comparison. ; This research has been supported by Scientific and Technological Research Council of Turkey (TUBITAK), project number EEEAG-115E464.
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Keyword:
attention; deep learning; dependency parsing; morphological segmentation; morphological tagging; morphology; recurrent neural networks; syntax
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URL: http://hdl.handle.net/2436/624440 https://doi.org/10.1017/S1351324921000371
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Speaker Attentive Speech Emotion Recognition
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In: Proccedings of interspeech 2021 ; Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03554368 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.2866-2870, ⟨10.21437/interspeech.2021-573⟩ (2021)
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La saillance : origines perceptives, applications linguistiques, enjeux interdisciplinaires
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In: ISSN: 0761-2990 ; EISSN: 1957-780X ; Semen - Revue de sémio-linguistique des textes et discours ; https://hal.archives-ouvertes.fr/hal-03153505 ; Semen - Revue de sémio-linguistique des textes et discours, Presses Universitaires de l'Université de Franche Comté (Pufc), 2021, Signifiant et matière : l'iconicité et la plasticité dans le document numérique verbal et visuel, 49, pp.35-50 (2021)
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The Visual System Prioritizes High-Level Scene Properties for Attentional Selection
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L'article partitif indique-t-il une perception "quantitative / partitive" du référent ?
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In: Sens (inter)dits, Construction du sens et représentation des référents ; https://hal.archives-ouvertes.fr/hal-02323549 ; C. Lacassain-Lagoin, F. Marsac, W. Ucherek, K. Chovancova. Sens (inter)dits, Construction du sens et représentation des référents, L'Harmattan, pp.109-125, 2021, Collection Dixit Grammatica (2021)
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Qui gardera les gardiens ? Sur certaines déclinaisons sémiotiques de la transparence en vue d’une évaluation critique des nudges
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In: EISSN: 2270-4957 ; Actes Sémiotiques ; https://hal-unilim.archives-ouvertes.fr/hal-03108925 ; Actes Sémiotiques , Université de Limoges, 2021, ⟨10.25965/as.6720⟩ (2021)
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Deep learning and the Global Workspace Theory
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In: ISSN: 0166-2236 ; EISSN: 1878-108X ; Trends in Neurosciences ; https://hal.archives-ouvertes.fr/hal-03311492 ; Trends in Neurosciences, Elsevier, 2021, ⟨10.1016/j.tins.2021.04.005⟩ (2021)
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Attention aux robots ! Comment des artefacts de téléprésence modifient les processus attentionnels pendant un séminaire doctoral
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In: Drôles d'objets: un nouvel art de faire ; https://hal.archives-ouvertes.fr/hal-03597054 ; Drôles d'objets: un nouvel art de faire, Oct 2021, La Rochelle, France. ⟨10.5281/zenodo.6059591⟩ ; drolesdobjets20.sciencesconf.org (2021)
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The grammar of engagement I: framework and initialexemplification
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In: Language and Cognition (2021)
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