Using textual clues to improve metaphor processing

dc.creatorFerrari, Stéphane
dc.date1996-07-30
dc.date.accessioned2026-07-07T09:10:33Z
dc.date.available2026-07-07T09:10:33Z
dc.descriptionIn this paper, we propose a textual clue approach to help metaphor detection, in order to improve the semantic processing of this figure. The previous works in the domain studied the semantic regularities only, overlooking an obvious set of regularities. A corpus-based analysis shows the existence of surface regularities related to metaphors. These clues can be characterized by syntactic structures and lexical markers. We present an object oriented model for representing the textual clues that were found. This representation is designed to help the choice of a semantic processing, in terms of possible non-literal meanings. A prototype implementing this model is currently under development, within an incremental approach allowing step-by-step evaluations. \footnote{This work takes part in a research project sponsored by the AUPELF-UREF (Francophone Agency For Education and Research)}
dc.description3 pages, single LaTeX file, uses aclap.sty
dc.identifierhttps://arxiv.org/abs/cmp-lg/9607034
dc.identifierhttp://arxiv.org/abs/cmp-lg/9607034
dc.identifierProceedings of the ACL'96, 34th Annual Meeting of the Association for Computational Linguistics, 351-353, Santa Cruz, California, 1996
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151381
dc.subjectComputation and Language
dc.titleUsing textual clues to improve metaphor processing
dc.typetext

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