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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 Hits 1 – 6 of 6 1 Using Brain Data for Sentiment Analysis. Gu, Yuqiao; Celli, Fabio; Steinberger, Josef. - 2014 BASE Show details 2 Discriminating Taxonomic Categories and Domains in Mental Simulations of Concepts of Varying Concreteness Anderson, Andrew J; Murphy, Brian; Poesio, Massimo. - : MIT Press - Journals, 2014 Abstract: Abstract Most studies of conceptual knowledge in the brain focus on a narrow range of concrete conceptual categories, rely on the researchers' intuitions about which object belongs to these categories, and assume a broadly taxonomic organization of knowledge. In this fMRI study, we focus on concepts with a variety of concreteness levels; we use a state of the art lexical resource (WordNet 3.1) as the source for a relatively large number of category distinctions and compare a taxonomic style of organization with a domain-based model (an example domain is Law). Participants mentally simulated situations associated with concepts when cued by text stimuli. Using multivariate pattern analysis, we find evidence that all Taxonomic categories and Domains can be distinguished from fMRI data and also observe a clear concreteness effect: Tools and Locations can be reliably predicted for unseen participants, but less concrete categories (e.g., Attributes, Communications, Events, Social Roles) can only be reliably discriminated within participants. A second concreteness effect relates to the interaction of Domain and Taxonomic category membership: Domain (e.g., relation to Law vs. Music) can be better predicted for less concrete categories. We repeated the analysis within anatomical regions, observing discrimination between all/most categories in the left mid occipital and left mid temporal gyri, and more specialized discrimination for concrete categories Tool and Location in the left precentral and fusiform gyri, respectively. Highly concrete/abstract Taxonomic categories and Domain were segregated in frontal regions. We conclude that both Taxonomic and Domain class distinctions are relevant for interpreting neural structuring of concrete and abstract concepts. Keyword: P Philology. Linguistics; QA75 Electronic computers. Computer science URL: http://repository.essex.ac.uk/11996/ http://repository.essex.ac.uk/11996/1/jocn_a_00508.pdf BASE Hide details 3 EEG decoding of semantic category reveals distributed representations for single concepts Lakany, Heba; Poesio, Massimo; Dalponte, Michele... In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 117 (2011) 1, 12-22 BLLDB OLC Linguistik Show details 4 EEG decoding of semantic category reveals distributed representations for single concepts Murphy, Brian; Poesio, Massimo; Bovolo, Francesca. - : Elsevier BV, 2011 BASE Show details 5 Strudel: a corpus-based semantic model based on properties and types Murphy, Brian; Poesio, Massimo; Barbu, Eduard... In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 34 (2010) 2, 222-254 BLLDB OLC Linguistik Show details 6 Strudel: A Corpus-Based Semantic Model Based on Properties and Types Baroni, Marco; Murphy, Brian; Barbu, Eduard. - : Wiley, 2010 BASE Show details

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