Resumen

BAR, Kfir; DERSHOWITZ, Nachum  y  DANKIN, Lena. Metaphor Interpretation Using Word Embeddings. Comp. y Sist. [online]. 2022, vol.26, n.3, pp.1301-1311.  Epub 02-Dic-2022. ISSN 2007-9737.  https://doi.org/10.13053/cys-26-3-4351.

We suggest a model for metaphor interpretation using word embeddings trained over a relatively large corpus. Our system handles nominal metaphors, like time is money. It generates a ranked list of potential interpretations of given metaphors. Candidate meanings are drawn from collocations of the topic (time) and vehicle (money) components, automatically extracted from a dependency-parsed corpus. We explore adding candidates derived from word association norms (common human responses to cues). Our ranking procedure considers similarity between candidate interpretations and metaphor components, measured in a semantic vector space. Lastly, a clustering algorithm removes semantically related duplicates, thereby allowing other candidate interpretations to attain higher rank. We evaluate using different sets of annotated metaphors, with encouraging preliminary results.

Palabras llave : Metaphor interpretation; word embeddings.

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