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Identifying Image Schemas: Towards Automatic Image Schema Extraction1

  • Maria M. Hedblom
Chapter
  • 23 Downloads
Part of the Cognitive Technologies book series (COGTECH)

Abstract

One of the missing pieces before image schemas can be used in conceptual blending and artificial intelligence is a method to automatically identify image schemas in natural language. In order to investigate this problem, the PATHfollowing family introduced in Chapter 3 will be empirically investigated by using a natural language corpus to detect existing members of the family and detect possible additional candidates. The experiment relies on a method of syntactic pattern matching using words strongly associated with movement and processes. The experiment includes four different languages to strengthen the idea that PATH-following in abstract domains (here finance) is not only found in one language but universal as assumed through their embodied manifestation. The experiment found that approximately 1/3 of extracted words could be image-schematic and could not only provide linguistic support for the members of the PATH family but also provide additional candidates.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Maria M. Hedblom
    • 1
  1. 1.Conceptual and Cognitive Modelling Research Group (CORE)Free University of Bozen-BolzanoBolzanoItaly

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