Multi-Dimensional Abstractness in Cross-Domain Mappings

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dc.contributor.authorDunn J
dc.date.accessioned2019-09-17T04:28:55Z
dc.date.available2019-09-17T04:28:55Z
dc.date.issued2014en
dc.date.updated2019-07-22T23:29:56Z
dc.description.abstractMetaphor is a cognitive process that shapes abstract target concepts by mapping them to concrete source concepts. Thus, many computational approaches to metaphor make reference, directly or indirectly, to the abstractness of words and concepts. The property of abstractness, however, remains theoretically and empirically unexplored. This paper implements a multi-dimensional definition of abstractness and tests the usefulness of each dimension for detecting cross-domain mappings.en
dc.identifier.citationDunn J (2014). Multi-Dimensional Abstractness in Cross-Domain Mappings. Baltimore, MD, USA: Annual Meeting of the Association for Computational Linguistics: Second Workshop on Metaphor in NLP (ACL 2014). 22/06/2018-27/06/2018. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2014). 27-32.en
dc.identifier.urihttp://hdl.handle.net/10092/17142
dc.language.isoen
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 3.0 International License.en
dc.subject.anzsrcFields of Research::47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)en
dc.subject.anzsrcField of Research::20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguisticsen
dc.titleMulti-Dimensional Abstractness in Cross-Domain Mappingsen
dc.typeConference Contributions - Publisheden
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