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From FreEM to D'AlemBERT ; From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French
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In: Proceedings of the 13th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-03596653 ; Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, Jun 2022, Marseille, France (2022)
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Hippocampal and auditory contributions to speech segmentation
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In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03604957 ; Cortex, Elsevier, 2022, ⟨10.1016/j.cortex.2022.01.017⟩ (2022)
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
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FiNER-139: A Financial Numeric Entity Recognition Dataset ...
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FiNER-139: A Financial Numeric Entity Recognition Dataset ...
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Estimating the Emotional Information in Japanese Songs Using Search Engines
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In: Sensors; Volume 22; Issue 5; Pages: 1800 (2022)
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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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Corpus Linguistics approaches to trainee translators’ framing practice in news translation
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In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 12 , Iss 1 (2022) (2022)
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Dissociated face- and word-selective intracerebral responses in the human ventral occipito-temporal cortex
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In: ISSN: 1863-2653 ; EISSN: 1863-2661 ; Brain Structure and Function ; https://hal.archives-ouvertes.fr/hal-03437752 ; Brain Structure and Function, Springer Verlag, 2021, 226 (9), pp.3031-3049. ⟨10.1007/s00429-021-02350-4⟩ (2021)
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Abstract:
International audience ; The extent to which faces and written words share neural circuitry in the human brain is actively debated. Here, we compare face-selective and word-selective responses in a large group of patients (N = 37) implanted with intracerebral electrodes in the ventral occipito-temporal cortex (VOTC). Both face-selective (i.e., significantly different responses to faces vs. non-face visual objects) and word-selective (i.e., significantly different responses to words vs. pseudofonts) neural activity is isolated with frequency-tagging. Critically, this sensitive approach allows to objectively quantify category-selective neural responses and disentangle them from general visual responses. About 70% of significant electrode contacts show either face-selectivity or word-selectivity only, with the expected right and left hemispheric dominance, respectively. Spatial dissociations are also found within core regions of face and word processing, with a medio-lateral dissociation in the fusiform gyrus (FG) and surrounding sulci, respectively. In the 30% of overlapping face-and word-selective contacts across the VOTC or in the FG and surrounding sulci, between-category-selective amplitudes (faces vs. words) show no-to-weak correlations, despite strong correlations in both the within-category-selective amplitudes (face-face, word-word) and the general visual responses to words and faces. Overall, these observations support the view that category-selective circuitry for faces and written words is largely dissociated in the human adult VOTC.
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Keyword:
[SDV]Life Sciences [q-bio]; Anterior temporal lobe; Face categorization; Frequency-tagging; Fusiform gyrus; SEEG; Word categorization
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URL: https://doi.org/10.1007/s00429-021-02350-4 https://hal.archives-ouvertes.fr/hal-03437752/file/Hagen2021_Article_DissociatedFace-AndWord-select.pdf https://hal.archives-ouvertes.fr/hal-03437752/document https://hal.archives-ouvertes.fr/hal-03437752
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Critical information thresholds underlying generic and familiar face categorisation at the same face encounter
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In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.archives-ouvertes.fr/hal-03437754 ; NeuroImage, Elsevier, 2021, 243, pp.118481. ⟨10.1016/j.neuroimage.2021.118481⟩ (2021)
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Exploring the Relationship Between Different Smartphone Reading Annotation Strategies and Students’ Comprehension
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In: Boise State University Theses and Dissertations (2021)
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Oscillatory activity and EEG phase synchrony of concurrent word segmentation and meaning-mapping in 9-year-old children
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In: ISSN: 1878-9293 ; EISSN: 1878-9307 ; Developmental Cognitive Neuroscience ; https://hal.archives-ouvertes.fr/hal-03334735 ; Developmental Cognitive Neuroscience, Elsevier, 2021, 51, pp.101010. ⟨10.1016/j.dcn.2021.101010⟩ (2021)
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From Error Annotation to Quantitative Analysis: Patterns in Russian Language Learning
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In: ISSN: 0036-0252 ; Russian language journal ; https://hal.archives-ouvertes.fr/hal-03376956 ; Russian language journal, American Councils for International Education, Michigan State University 2021, 71 (3), pp.39-70 (2021)
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Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021)
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Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://halshs.archives-ouvertes.fr/halshs-02591388 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2021, ⟨10.46298/jdmdh.6485⟩ (2021)
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Corpus and Models for Lemmatisation and POS-tagging of Old French
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In: https://halshs.archives-ouvertes.fr/halshs-03353125 ; 2021 (2021)
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Old Catalan Morphosyntax: developing an annotated corpus
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In: EISSN: 2059-481X ; Journal of Open Humanities Data ; https://hal.archives-ouvertes.fr/hal-03617737 ; Journal of Open Humanities Data, Ubiquity Press, 2021, 7, pp.30. ⟨10.5334/johd.54⟩ (2021)
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Automated audio captioning by fine-tuning bart with audioset tags
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In: DCASE 2021 - 6th Workshop on Detection and Classification of Acoustic Scenes and Events ; https://hal.inria.fr/hal-03522488 ; DCASE 2021 - 6th Workshop on Detection and Classification of Acoustic Scenes and Events, Nov 2021, Virtual, Spain (2021)
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