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1
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus
In: CMLC-8 - 8th Workshop on the Challenges in the Management of Large Corpora ; https://hal.inria.fr/hal-02678358 ; CMLC-8 - 8th Workshop on the Challenges in the Management of Large Corpora, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/CMLC-8book.pdf (2020)
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2
Modeling Conventionalization and Predictability within MWEs at the Brain Level
In: Proceedings of the Society for Computation in Linguistics (2020)
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3
Neural Mechanisms of Pronoun Resolution
Li, Jixing. - 2019
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4
A Neurolinguistic Approach to Noncompositionality and Argument Structure
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5
Syntactic Parsing versus MWEs: What can fMRI signal tell us
In: PARSEME-FR 2019 consortium meeting ; https://hal.inria.fr/hal-02272288 ; PARSEME-FR 2019 consortium meeting, Jun 2019, Blois, France ; https://parsemefr.lis-lab.fr/doku.php?id=meeting-20190613 (2019)
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6
Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level
In: CRCNS 2019 ; https://hal.inria.fr/hal-02272435 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019)
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7
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
In: EMNLP-IJCNLP 2019 - Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing ; https://hal.inria.fr/hal-02272303 ; EMNLP-IJCNLP 2019 - Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Nov 2019, Hong-Kong, China. ⟨10.18653/v1/D19-1106⟩ (2019)
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8
Variable beam search for generative neural parsing and its fit with neuro-imaging signal
In: CRCNS 2019 ; https://hal.inria.fr/hal-02272475 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019)
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9
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ; https://hal.archives-ouvertes.fr/hal-03025859 ; Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, France. pp.1150-1160, ⟨10.18653/v1/D19-1106⟩ (2019)
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10
Localising Memory Retrieval and Syntactic Composition: An fMRI Study of Naturalistic Language Comprehension
In: ISSN: 2327-3798 ; EISSN: 2327-3801 ; Language, Cognition and Neuroscience ; https://hal.archives-ouvertes.fr/hal-01930201 ; Language, Cognition and Neuroscience, Taylor and Francis, In press, 34 (4), pp.1-20. ⟨10.1080/23273798.2018.1518533⟩ (2018)
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11
Localising memory retrieval and syntactic composition: an fMRI study of naturalistic language comprehension ...
Abstract: This study examines memory retrieval and syntactic composition using fMRI while participants listen to a book, The Little Prince. These two processes are quantified drawing on methods from computational linguistics. Memory retrieval is quantified via multi-word expressions that are likely to be stored as a unit, rather than built-up compositionally. Syntactic composition is quantified via bottom-up parsing that tracks tree-building work needed in composed syntactic phrases. Regression analyses localise these to spatially-distinct brain regions. Composition mainly correlates with bilateral activity in anterior temporal lobe and inferior frontal gyrus. Retrieval of stored expressions drives right-lateralised activation in the precuneus. Less cohesive expressions activate well-known nodes of the language network implicated in composition. These results help to detail the neuroanatomical bases of two widely-assumed cognitive operations in language processing. ...
Keyword: 111714 Mental Health; 69999 Biological Sciences not elsewhere classified; FOS Biological sciences; FOS Clinical medicine; FOS Health sciences; FOS Sociology; Immunology; Neuroscience; Physiology; Sociology
URL: https://dx.doi.org/10.6084/m9.figshare.7092971.v1
https://tandf.figshare.com/articles/Localising_memory_retrieval_and_syntactic_composition_an_fMRI_study_of_naturalistic_language_comprehension/7092971/1
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12
Localising memory retrieval and syntactic composition: an fMRI study of naturalistic language comprehension ...
Shohini Bhattasali; Fabre, Murielle; Luh, Wen-Ming. - : Taylor & Francis, 2018
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