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        <title>Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames</title>
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        <namePart type="given">Hyeju</namePart>
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    <abstract>In this paper, we present a novel and highly effective method for induction and application of metaphor frame templates as a step toward detecting metaphor in extended discourse. We infer implicit facets of a given metaphor frame using a semi-supervised bootstrapping approach on an unlabeled corpus. Our model applies this frame facet information to metaphor detection, and achieves the state-of-the-art performance on a social media dataset when building upon other proven features in a nonlinear machine learning model. In addition, we illustrate the mechanism through which the frame and topic information enable the more accurate metaphor detection.</abstract>
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%0 Conference Proceedings
%T Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames
%A Jang, Hyeju
%A Maki, Keith
%A Hovy, Eduard
%A Rosé, Carolyn
%Y Jokinen, Kristiina
%Y Stede, Manfred
%Y DeVault, David
%Y Louis, Annie
%S Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
%D 2017
%8 August
%I Association for Computational Linguistics
%C Saarbrücken, Germany
%F jang-etal-2017-finding
%X In this paper, we present a novel and highly effective method for induction and application of metaphor frame templates as a step toward detecting metaphor in extended discourse. We infer implicit facets of a given metaphor frame using a semi-supervised bootstrapping approach on an unlabeled corpus. Our model applies this frame facet information to metaphor detection, and achieves the state-of-the-art performance on a social media dataset when building upon other proven features in a nonlinear machine learning model. In addition, we illustrate the mechanism through which the frame and topic information enable the more accurate metaphor detection.
%R 10.18653/v1/W17-5538
%U https://aclanthology.org/W17-5538
%U https://doi.org/10.18653/v1/W17-5538
%P 320-330

Markdown (Informal)

[Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames](https://aclanthology.org/W17-5538) (Jang et al., SIGDIAL 2017)

• Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames (Jang et al., SIGDIAL 2017)

ACL

• Hyeju Jang, Keith Maki, Eduard Hovy, and Carolyn Rosé. 2017. Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 320–330, Saarbrücken, Germany. Association for Computational Linguistics.