BACKGROUND Figurative language, such as metaphor and metonymy, is very common in daily language use. Its underlying cognitive processes are sometimes viewed as lying at the interface of language and thought. Williams syndrome, which is a rare genetic developmental disorder, provides an opportunity to study this interface because individuals with this disorder have relative strengths in vocabula...

Though the GYDER system has achieved the highest accuracy scores for the metonymy resolution shared task at SemEval-2007 in all six subtasks, we don’t consider the results (72.80% accuracy for org, 84.36% for loc) particularly impressive, and argue that metonymy resolution needs more features.

We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-modifier relations are a high precision feature for metonymy recognition but suffer from data sparseness. We partially overcome this problem by integrating a thesaurus and introducing simpler grammatical features, thereb...

In this paper we make the case for corpus-based metonymy analysis and show that many interesting linguistic and statistical questions can only be answered by working with real texts. To facilitate such studies, we present a method for annotating metonymies in domain and genre-independent text. We advocate an annotation scheme that builds on regularities in metonymic usage, that takes underspeci...

This paper is an extended version of (Brun et al., 2007) describing our participation to the Metonymy Resolution (task #8) at SemEval 2007. In order to perform Named Entity metonymy resolution on location names and company names, as required for this task, we developed a hybrid system based on the use of a robust parser that extracts deep syntactic relations combined with a non supervised distr...

We argue for the necessity of resolution of metonymies for nominals (and other cases) in the context of semantics-based machine translation. By using an ontology as a search space, we are able to identify and resolve metonymic expressions with significant accuracy, both for a pre-deterrnined inventory of metonymie types and for previously unseen cases. The entity replaced by the metonymy is mad...

Named Entity metonymy resolution is a challenging natural langage processing task, which has been recently subject to a growing interest. In this paper, we describe the method we have developed in order to solve Named entity metonymy in the framework of the SemEval 2007 competition. In order to perform Named Entity metonymy resolution on location names and company names, as required for this ta...

At the moment, language resources do not contain the necessary information for large-scale metonymy processing. As a contribution, we here present a corpus annotated for metonymies. We describe a framework for annotating metonymies in domain-independent text that considers the regularity, productivity and underspecification of metonymic usage. We then present a fully worked out annotation schem...

Most of previous studies on metaphor and metonymy at home abroad are limited to the verbal mode, ignoring non-verbal mode. A few multimodality mainly focus basic role metonymy, lacking adequate attention representation multimodal in constructing specific images from perspective social pragmatic function. This paper takes cover cartoons Economist as data analyze recognition metaphors metonymy. T...