| Martin J., 1992. Metabank: a Knowledge Base of Metaphoric Language Conventions. Computational Intelligence, 10, pg. 134-149. |
....himself and to his students (Berkeley Metaphor List) The entries are compiled by hand from the published metaphor literature and from a series of graduate seminars held at University of California at Berkeley. They contain the metaphorical mapping and metaphorical realizations for each metaphor. Martin [Martin 1994] proposes an empirically derived and theoretically motivated knowledge base of English metaphorical conventions. In his paper, he shows how such a knowledge base could be actually built with metaphors described in the Ortolingua representation language. He proposes two methods for gathering ....
Martin J., 1992. Metabank: a Knowledge Base of Metaphoric Language Conventions. Computational Intelligence, 10, pg. 134-149.
....and Aktionsart (e.g. inchoative, terminative . Examples are take a walk, give a talk, make a contribution. Lexicalized metaphorical expressions (or analyzable idioms) like pull strings, attack an argument, keep tabs on can be interpreted by making use of metaphorical language conventions (Martin 1991), which transfer the meanings of the constituents to some target domain. Lexicalized metaphors differ from idioms proper in that the meaning of the expression can be modified by modifying its constituent parts (e.g. pull certain strings, keep close tabs on) and that the metaphorical convention ....
James H. Martin. MetaBank: A Knowledge Base of Metaphoric Language Conventions. In: Dan Fass, Elizabeth Hinkelman and James Martin (eds.). Proceedings of the IJCAI Workshop on Computational Approaches to Non-Literal Language: Metaphor, Metonymy, Idiom, Speech Acts, Implicature. Sydney, 1991.
....that something was introduced to inhibit idea communication. This productive use of language from one domain to talk about another is well known from the work of Carbonell, Reddy, Lakoff, Gibbs and others (Carbonell, 1982; Gibbs, 1998; Lakoff, 1993; Lakoff Turner 1989; Lakoff Johnson, 1980; Martin, 1990, 1994; Reddy, 1979 1993; but see Croft, 1998, and Gibbs, 1998, on the difficulty of choosing between possibilities for accounting for the productivity) In the area of corpus studies of metaphor, Deignan (1999) has said that speakers regularly exploit and extend existing metaphors as a way of creating ....
Martin, J. (1994). Metabank: A knowledge-base of metaphoric language conventions. Computational Intelligence, 10 (2), pp.134--149.
.... and Glucksberg, 1983; Glucksberg et al. 1982; Kemper, 1989; Inhoff et al. 1984; Keysar, 1989; Ortony et al. 1978) These results have been used to both bolster and refute a bewildering array of mechanistic accounts of metaphor processing (Fass, 1991; Fass, 1988; Martin, 1990; Martin, 1992; Martin, 1994; Gentner et al. 1988; Gildea and Glucksberg, 1983; Russell, 1976; Wilks, 1978; Carbonell, 1981; Hobbs, 1979; Indurkhya, 1987) Perhaps the most well known result from this research is that appropriate contexts facilitate the processing of metaphor to the extent that there is no significant ....
....In such an analysis metaphors in the sampled text are identified by hand and clustered together based on the conceptual similarity of their source, target and ground components. Such an analysis was performed on a collection of text from the Wall Street Journal as a part of the metabank project (Martin, 1994). The results from this study gave us the basis we needed to collect the specific contextual information we require; the collected examples of the more frequently occurring metaphor types give us the means to search for further examples of those specific types in context. 3.1 Methodology The ....
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Martin, J. H. (1994). Metabank: A knowledge-base of metaphoric language conventions. Computational Intelligence, 10(2):134--149.
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Martin, J. (1994). Metabank: A knowledge-base of metaphoric language conventions. Computational Intelligence, 10 (2), pp.134--149.
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