Topic Model Analysis of Metaphor Frequency for Psycholinguistic Stimuli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Psycholinguistic studies of metaphor processing must control their stimuli not just for word frequency but also for the frequency with which a term is used metaphorically. Thus, we consider the task of metaphor frequency estimation, which predicts how often target words will be used metaphorically. We develop metaphor classifiers which represent metaphorical domains through Latent Dirichlet Allocation, and apply these classifiers to the target words, aggregating their decisions to estimate the metaphorical frequencies. Training on only 400 sentences, our models are able to achieve 61.3% accuracy on metaphor classification and 77.8% accuracy on HIGH vs. LOW metaphorical frequency estimation.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2009 - Computational Approaches to Linguistic Creativity, Proceedings of the Workshop
EditorsAnna Feldman, Birte Loenneker-Rodman
PublisherAssociation for Computational Linguistics (ACL)
Pages9-16
Number of pages8
ISBN (Electronic)9781932432367
StatePublished - 2009
Externally publishedYes
Event2009 Workshop on Computational Approaches to Linguistic Creativity, CALC 2009 - Boulder, United States
Duration: Jun 4 2009 → …

Publication series

NameNAACL HLT 2009 - Computational Approaches to Linguistic Creativity, Proceedings of the Workshop

Conference

Conference2009 Workshop on Computational Approaches to Linguistic Creativity, CALC 2009
Country/TerritoryUnited States
CityBoulder
Period6/4/09 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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