Publications

Publication details [#7709]

Mason, Zachary J. 2004. CorMet: A computational, corpus-based conventional metaphor extraction system. Computational Linguistics 30 (1) : 23–44. 22 pp.
Publication type
Article in journal
Publication language
English

Abstract

In the CorMet algorithm introduced by Mason (2004), the distribution of formal patterns over domain-specific source texts is the basis of the procedure. When we notice that money flows, we may wonder whether there is a general metaphor of the type MONEY IS A LIQUID. To determine whether this is indeed the case, Mason collects texts that have to do specifically with money (like financial information issued by banks) and liquids (like laboratory reports), and determines the verbs that are typical for each of the two domains, like spend, invest, save, deposit on one side, and pour, flow, evaporate, freeze on the other. In each of the two sets of texts, the typical arguments of the verbs are identified. It appears that there is an asymmetric structure between the two domains: verbs that select the concept 'liquid' in the laboratory texts also select 'money' in the financial texts, but conversely, verbs that select 'money' in the financial texts do not select 'liquid' in the laboratory texts. Liquids can flow, and money can flow; you can invest money, but you cannot invest liquid. If this occurs for a range of typical verbs, then this is taken as an indication of the MONEY IS A LIQUID metaphorical mapping. (Dirk Geeraerts)