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MOCKERY AND PROVOCATION FOR FUN: LEXICAL AND SEMANTIC REPRESENTATION IN THE RUSSIAN LANGUAGE ...
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Formalization of AMR Inference via Hybrid Logic Tableaux ...
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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) ...
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AAA4LLL - Acquisition, Annotation, Augmentation for Lively Language Learning ...
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Hy-NLI : a Hybrid system for state-of-the-art Natural Language Inference
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Plurality and quantification in graph representation of meaning
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Simulating Semantics: What Individual Differences in Motor Imagery Can Tell Us About Language Processing ...
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The building blocks of meaning: Psycholinguistic evidence on the nature of verb argument structure
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Multimodal conceptual knowledge influences lexical retrieval speed: evidence from object-naming and word-reading in healthy adults
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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
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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)
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UNSUPERVISED PARAPHRASE GENERATION FROM HIERARCHICAL LANGUAGE MODELS
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A Rule-Based Reasoner for Underwater Robots Using OWL and SWRL
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In: Sensors ; Volume 18 ; Issue 10 (2018)
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The Structure of Process of Students' Learning the Visual-Semantic Representation of a Hieroglyphs ...
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The Structure of Process of Students' Learning the Visual-Semantic Representation of a Hieroglyphs ...
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Anna Wierzbicka, Semantic Decomposition, and the Meaning-Text Approach
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In: Russian journal of linguistics: Vestnik RUDN, Vol 22, Iss 3, Pp 521-538 (2018) (2018)
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Using EEG to decode semantics during an artificial language learning task
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