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- W2786271736 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." @default.
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- W2786271736 date "2017-01-01" @default.
- W2786271736 modified "2023-09-23" @default.
- W2786271736 title "Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames" @default.
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- W2786271736 doi "https://doi.org/10.18653/v1/w17-5538" @default.
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