Computational Metaphor Identification: a Method for Identifying Conceptual Metaphors in Written Text

نویسندگان

  • Eric Baumer
  • Bill Tomlinson
  • Lindsey Richland
چکیده

While much research has pursued the development of computational models of metaphorical and analogical reasoning in controlled contexts, less work has been conducted on model capturing less structured, everyday relational reasoning. This paper describes computational metaphor identification (CMI), which uses computational linguistic techniques to identify patterns in written text indicative of potential conceptual metaphors. The paper presents an overview of CMI, followed by sample results from two different corpora: middle school students' science writing and political blogs from during the 2008 US election. These results demonstrate CMI's capacity to identify linguistic patterns potentially indicative of deep conceptual metaphors that could subtly yet powerfully influence reasoning.

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تاریخ انتشار 2009