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Gradable adjectives and the semantics of locativesFlieger, Johannes C. January 2009 (has links)
This dissertation develops a semantic model of gradable adjectives such as ‘tall’, ‘good’, ‘big’, ‘heavy’, etc., within a formal semantic theory of locatives we call Locative Structure Semantics (LSS). Our central hypothesis is that gradable adjectives are, semantically, a species of locative expression. The view of gradable adjectives as locatives is inspired by the vector-based semantic models of Vector Space Semantics (VSS), as well as the notion of perspective or point of view, as found in Leonard Talmy’s research on spatial expressions (Talmy [153]) and the tradition of Situation Semantics (cf. Barwise and Perry [9, p. 39]). Following Barwise and Seligman [11], we construe the contextual variability that characterises gradable adjectives in terms of shifts in cognitive perspective. We argue that perspectives are a formal part of a semantic representational structure that is shared by expressions from several different domains, which we refer to as a locative structure (L-structure). The notion of an L-structure is influenced by Reichenbach’s notion of tense, and can be thought of as a generalisation of the Reichenbachian notion of tense to the realm of concepts. Reichenbach [134] proposed that each temporal expression is associated with three time points: a speech point, S, an event point, E, and reference point, R, where E refers to the time point corresponding to the event described by the tensed clause, S is (usually) taken to be the speaker’s time of utterance, and R is a temporal reference point relevant to the utterance. In LSS we extend this tripartite scheme to locative expressions in general, to which we assign a ternary structure comprising a Perspective, a Figure, and a Ground, represented symbolically as P, F, and G, and which are generalisations of the Reichenbachian S, E, and R, respectively. We show that a formal semantics based on L-structures enables us to capture important crosscategorial similarities between gradable adjectives, tenses, and spatial prepositions.
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What Machines Understand about Personality Words after Reading the NewsMoyer, Eric David 15 December 2014 (has links)
No description available.
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