Team: Petra Schumacher (InfoPer2, U Cologne), Barbara Tomaszewicz (InfoPer2, U Cologne), Michael Franke (Pro3, U T\u00fcbingen), Judith Degen (Pro3, Stanford University) and Daniel Lassiter (Stanford University)<\/p>\n
\nAbsolute gradable adjectives<\/strong>, such as \u2018full\u2019, differ from relative gradable adjectives<\/strong>, \u2018big\u2019, in that they may have context-independent interpretations (Rotstein & Winter 2004, Kennedy & McNally 2005, Syrett 2007, Kennedy 2007, Syrett et al. 2010, Toledo & Sassoon 2011, Lassiter & Goodman 2013, 2015, Burnett 2014, Qing & Franke 2014, Lassiter 2015). Theoretical and experimental work has suggested that while both kinds of adjectives are context-sensitive, in the case of absolute adjectives only imprecise standards (i.e. deviating from a certain standard threshold, as in \u2018full for a whiskey glass\u2019) require context, whereas precise standards are always acceptable irrespective of context. While prior experiments concentrated on identifying the differences in context-sensitivity between relative and absolute adjectives, we focus on absolute adjectives<\/strong> and the mechanism for setting an imprecise standard for comparison<\/strong>. Two experiments within the InfoPer2 project, a picture-sentence verification task and an EEG study, explore how the interpretive mechanism for absolute adjective incorporates world knowledge<\/strong>. In collaboration with the Pro3 project and the external collaborator Daniel Lassiter, a model of probabilistic reasoning<\/strong> about the degree of contextually adequate imprecision will be developed to explain the judgment data. The model\u2019s ability to capture which categorical truth-value decisions associate with the use of world knowledge and which do not will then be tested on the online processing data.<\/p>\n","protected":false},"excerpt":{"rendered":" Team: Petra Schumacher (InfoPer2, U Cologne), Barbara Tomaszewicz (InfoPer2, U Cologne), Michael Franke (Pro3, U T\u00fcbingen), Judith Degen (Pro3, Stanford University) and Daniel Lassiter (Stanford University) Absolute gradable adjectives, such as \u2018full\u2019, differ from relative gradable adjectives, \u2018big\u2019, in that they may have context-independent interpretations (Rotstein & Winter 2004, Kennedy & McNally 2005, Syrett 2007, … Continue reading The role of world-knowledge in setting imprecise standards for absolute gradable adjectives: Probabilistic Modeling<\/span>