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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...82 Hits 1 – 20 of 1.640 1 MOCKERY AND PROVOCATION FOR FUN: LEXICAL AND SEMANTIC REPRESENTATION IN THE RUSSIAN LANGUAGE ... Rebrina, L.N.. - : Инфинити, 2022 BASE Show details 2 Formalization of AMR Inference via Hybrid Logic Tableaux ... Goldner, Eli Tecumseh. - : Brandeis University, 2022 BASE Show details 3 La théorie sens-texte : concepts-clés et applications Marengo, Sébastien (Herausgeber); Tutin, Agnès (Verfasser eines Geleitwortes). - Paris : L'Harmattan, 2021 BLLDB UB Frankfurt Linguistik Show details 4 Research compendium for Montero-Melis et al. (2021) "No evidence for embodiment: The motor system is not needed to keep action words in working memory" (Cortex) ... Montero-Melis, Guillermo. - : Open Science Framework, 2021 BASE Show details 5 The JeuxDeMots Project (Invited Talk) ... Lafourcade, Mathieu. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 6 AAA4LLL - Acquisition, Annotation, Augmentation for Lively Language Learning ... Wloka, Bartholomäus; Winiwarter, Werner. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 7 Hy-NLI : a Hybrid system for state-of-the-art Natural Language Inference Kalouli, Aikaterini-Lida. - 2021 BASE Show details 8 Plurality and quantification in graph representation of meaning Cao, Yu (author); Charlow, Simon (chair); Jardine, Adam (member). - 2021 BASE Show details 9 Simulating Semantics: What Individual Differences in Motor Imagery Can Tell Us About Language Processing ... Muraki, Emiko Joanne. - : Arts, 2020 BASE Show details 10 The building blocks of meaning: Psycholinguistic evidence on the nature of verb argument structure Ziegler, Jayden Robert. - 2019 BASE Show details 11 Seeing and saying : the language of perception and the representational view of experience Brogaard, Berit. - New York : Oxford University Press, 2018 BLLDB UB Frankfurt Linguistik Show details 12 Multimodal conceptual knowledge influences lexical retrieval speed: evidence from object-naming and word-reading in healthy adults Mackenzie-Phelan, R; Roberts, D. - : Frontiers Media, 2018 BASE Show details 13 Formal analysis of natural language requirements for the design of cyber-physical systems ; Analyse formelle d'exigences en langue naturelle pour la conception de systèmes cyber-physiques Lamercerie, Aurélien In: TALN 2018 - Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.inria.fr/hal-01970134 ; TALN 2018 - Conférence sur le Traitement Automatique des Langues Naturelles, May 2018, Rennes, France. pp.1-13 (2018) BASE Show details 14 UNSUPERVISED PARAPHRASE GENERATION FROM HIERARCHICAL LANGUAGE MODELS Traynor, Michael. - 2018 BASE Show details 15 A Rule-Based Reasoner for Underwater Robots Using OWL and SWRL Zhaoyu Zhai; José-Fernán Martínez Ortega; Néstor Lucas Martínez... In: Sensors ; Volume 18 ; Issue 10 (2018) BASE Show details 16 The Structure of Process of Students' Learning the Visual-Semantic Representation of a Hieroglyphs ... Naumova Yuliya. - : Zenodo, 2018 BASE Show details 17 The Structure of Process of Students' Learning the Visual-Semantic Representation of a Hieroglyphs ... Naumova Yuliya. - : Zenodo, 2018 BASE Show details 18 Anna Wierzbicka, Semantic Decomposition, and the Meaning-Text Approach Igor A Mel’čuk In: Russian journal of linguistics: Vestnik RUDN, Vol 22, Iss 3, Pp 521-538 (2018) (2018) BASE Show details 19 Using EEG to decode semantics during an artificial language learning task Foster, Chris. - 2018 Abstract: The study of semantics in the brain explores how the brain represents, processes, and learns the meaning of language. In this thesis we show both that semantic representations can be decoded from electroencephalography data, and that we can detect the emergence of semantic representations as participants learn an artificial language mapping. We collected electroencephalography data while participants performed a reinforcement learning task that simulates learning an artificial language, and then developed a machine learning semantic representation model to predict semantics as a word-to-symbol mapping was learned. Our results show that 1) we can detect a reward positivity when participants correctly identify a symbol's meaning; 2) the reward positivity diminishes for subsequent correct trials; 3) we can detect neural correlates of the semantic mapping as it is formed; and 4) the localization of the neural representations is heavily distributed. Our work shows that language learning can be monitored using EEG, and that the semantics of even newly-learned word mappings can be detected using EEG. ; Graduate Keyword: EEG; language learning; reward positivity; semantic representation; word semantics; word vectors URL: https://dspace.library.uvic.ca//handle/1828/10382 BASE Hide details 20 Syntax-mediated semantic parsing Reddy Goli, Venkata Sivakumar. - : The University of Edinburgh, 2017 BASE Show details Page: 1 2 3 4 5...82

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