Abstract
This paper proposes a technique to create figurative relationships using Mikolov et al.'s word vectors. Drawing on existing work on figurative language, we start with a pair of words and use the intersection of word vector similarity sets to blend the distinct semantic spaces of the two words. We conduct preliminary quantitative and qualitative observations to compare the use of this novel intersection method with the standard word vector addition method for the purpose of supporting the generation of figurative language.
Cite
CITATION STYLE
Gagliano, A., Paul, E., Booten, K., & Hearst, M. A. (2016). Intersectingword vectors to take figurative language to new heights. In Proceedings of the 5th Workshop on Computational Linguistics for Literature, CLfL 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 (pp. 20–31). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-0203
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