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            Frames interdisziplinär: Modelle, Anwendungsfelder, Methoden

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            Contributor(s)
            Ziem, Alexander (editor)
            Wulf, Detmer (editor)
            Inderelst, Lars (editor)
            Language
            English; German
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            Abstract
            Das Frame-Konzept als kognitives Repräsentationsformat ist seit seiner Einführung durch Minsky und Fillmore vielfach rezipiert und modifiziert worden. Dieser interdisziplinär ausgerichtete Band vereint Beiträge aus so unterschiedlichen Disziplinen wie Linguistik, Philosophie, Medien-, Kommunikations- und Informationswissenschaften bis hin zur Klinischen Psychiatrie, die das Frame-Konzept aus grundlagentheoretischer sowie methodologischer Perspektive in den Blick nehmen, die aber auch verschiedene Anwendungsfelder für Frames erproben. The series ‘Proceedings in Language and Cognition’ explores issues of mental representation, linguistic structure and representation, and their interplay. The research presented in this series is grounded in the idea explored in the Collaborative Research Center ‘The structure of representations in language, cognition and science’ (SFB 991) that there is a universal format for the representation of linguistic and cognitive concepts.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/161165
            Keywords
            emotion vocabulary; FrameNet; Cognitive Linguistics; Frame-Analysis; InValue-Framing; thema EDItEUR::C Language and Linguistics::CF Linguistics
            DOI
            10.1515/9783110720372
            ISBN
            9783110720372, 9783957580023
            Publisher
            De Gruyter
            Publisher website
            http://www.degruyter.com/
            Publication date and place
            Berlin/Boston, 2018
            Imprint
            düsseldorf university press
            Series
            Proceedings in Language and Cognition,
            Pages
            354
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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