Oseremen Uduehi
2024
An Expectation-Realization Model for Metaphor Detection
Oseremen Uduehi
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Razvan Bunescu
Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)
We propose a new model for metaphor detection in which an expectation component estimates representations of expected word meanings in a given context, whereas a realization component computes representations of target word meanings in context. We also introduce a systematic evaluation methodology that estimates generalization performance in three settings: within distribution, a new strong out of distribution setting, and a novel out-of-pretraining setting. Across all settings, the expectation-realization model obtains results that are competitive with or better than previous metaphor detection models.
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