Computational Metaphor Identification (CMI) aims to computationally identify conceptual metaphors in large bodies of written text, providing a unique lens onto the conceptual framings used in those documents. The goal is to use these computationally identified metaphors to foster critical discussion of metaphor, particularly in the context of learning science concepts. CMI will be used to encourage students to ask the following questions: Given a particular metaphor, what aspects of the concept or situation does this metaphor highlight? What other aspects of the situation does the same metaphor hide? What is a different metaphor that would highlight or hide different aspects of the same situation?

Eric Baumer (ebaumer -at- ics.uci.edu)
Bill Tomlinson (wmt -at- uci.edu)