What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language (2013)
This paper evaluates four metaphor identification systems on the 200,000 word VU Amsterdam Metaphor Corpus, comparing results by genre and by sub-class of metaphor. The paper then compares the rate of agreement between the systems for each genre and sub-class. Each of the identification systems is based, explicitly or implicitly, on a theory of metaphor which hypothesizes that certain properties are essential to metaphor-inlanguage. The goal of this paper is to see what the success or failure of these systems can tell us about the essential properties of metaphorin-language. The success of the identification systems varies significantly across genres and sub-classes of metaphor. At the same time, the different systems achieve similar success rates on each even though they show low agreement among themselves. This is taken to be evidence that there are several sub-types of metaphor-in-language and that the ideal metaphor identification system will first define these sub-types and then model the linguistic properties which can distinguish these sub-types from one another and from nonmetaphors.
CitationDunn J (2013). What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language. Stroudsburg, PA, USA: Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2013). 10/06/2013-15/06/2015. Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: First Workshop on Metaphor in NLP (NAACL 2013). 1-10.
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ANZSRC Fields of Research47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)
20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics
RightsCreative Commons Attribution-NonCommercial-ShareAlike 3.0 International License
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Dunn J (Walter de Gruyter GmbH, 2013)This paper argues that two properties of the linguistic structure of an utterance influence and partially determine whether the utterance has a metaphoric meaning that results in a stable interpretation: (i) degree of ...
Dunn J; Beltran de Heredia J; Burke M; Gandy L; Kanareykin S; Kapah O; Taylor M; Hines D; Frieder O; Grossman D; Howard N; Koppel M; Morris S; Ortony A; Argamon S (2014)True natural language understanding requires the ability to identify and understand metaphorical utterances, which are ubiquitous in human communication of all kinds. At present, however, even the problem of identifying ...
Dunn J (2014)This paper presents the first computationally-derived scalar measurement of metaphoricity. Each input sentence is given a value between 0 and 1 which represents how metaphoric that sentence is. This measure achieves a ...