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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://library.oapen.org/handle/20.500.12657/59615
        Keywords
        emotion vocabulary; FrameNet; Cognitive Linguistics; Frame-Analysis; InValue-Framing
        DOI
        10.1515/9783110720372
        ISBN
        9783110720372, 9783957580023
        Publisher
        De Gruyter
        Publisher website
        https://www.degruyter.com/
        Publication date and place
        Berlin/Boston, 2018
        Imprint
        düsseldorf university press
        Series
        Proceedings in Language and Cognition,
        Classification
        Linguistics
        Pages
        354
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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