- Mona T. Diab, Pravin Bhutada. 2009. Verb Noun Construction MWE Token Classification. Abstract: We address the problem of classifying multi-word expression tokens in running text. We focus our study on Verb-Noun Constructions (VNC) that vary in their idiomaticity depending on context. VNC tokens are classiﬁed as either idiomatic or literal. We present a supervised learning approach to the problem. We ex-periment with different features. Our approach yields the best results to date on MWE clas-siﬁcation combining different linguistically motivated features, the overall performance yields an F-measure of 84.58% corresponding to an F-measure of 89.96% for idiomaticity identiﬁcation and classiﬁcation and 62.03% for literal identiﬁ-cation and classiﬁcation.
