Paper: Classifier Combination for Contextual Idiom Detection Without Labelled Data

ACL ID D09-1033
Title Classifier Combination for Contextual Idiom Detection Without Labelled Data
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model com- bines an unsupervised and a supervised classifier. The former bases its decision on the cohesive structure of the context and labels training data for the latter, which can thentakealargerfeaturespaceintoaccount. We show that a combination of both classi- fiers leads to significant improvements over using the unsupervised classifier alone.