Argumentation-Relevant Metaphors in Test-Taker Essays

نویسندگان

  • Beata Beigman Klebanov
  • Michael Flor
چکیده

This article discusses metaphor annotation in a corpus of argumentative essays written by test-takers during a standardized examination for graduate school admission. The quality of argumentation being the focus of the project, we developed a metaphor annotation protocol that targets metaphors that are relevant for the writer’s arguments. The reliability of the protocol is κ=0.58, on a set of 116 essays (the total of about 30K content-word tokens). We found a moderate-to-strong correlation (r=0.51-0.57) between the percentage of metaphorically used words in an essay and the writing quality score. We also describe encouraging findings regarding the potential of metaphor identification to contribute to automated scoring of essays.

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تاریخ انتشار 2013