Publication details [#7149]

Lapata, Maria and Alex Lascarides. 2003. A probabilistic account of logical metonymy. Computational Linguistics 29 (2) : 261–315. 55 pp.


In this article we investigate logical metonymy, that is, constructions in which the argument of a word in syntax appears to be different from that argument in logical form (e.g., 'enjoy the book' means "enjoy reading the book", and 'easy problem' means "a problem that is easy to solve"). The systematic variation in the interpretation of such constructions suggests a rich and complex theory of composition on the syntax/semantics interface. Linguistic accounts of logical metonymy typically fail to describe exhaustively all the possible interpretations, or they don’t rank those interpretations in terms of their likelihood. In view of this, we acquire the meanings of metonymic verbs and adjectives from a large corpus and propose a probabilistic model that provides a ranking on the set of possible interpretations. We identify the interpretations automatically by exploiting the consistent correspondences between surface syntactic cues and meaning. We evaluate our results against paraphrase judgments elicited experimentally from humans and show that the model’s ranking of meanings correlates reliably with human intuitions. (Maria Lapata and Alex Lascarides)