1 research outputs found
Using textual clues to improve metaphor processing
In 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)}Comment: 3 pages, single LaTeX file, uses aclap.st