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Unsupervised Compositionality Prediction of Nominal Compounds
2018
Computational Linguistics
Nominal compounds such as red wine and nut case display a continuum of compositionality, with varying contributions from the components of the compound to its semantics. This article proposes a framework for compound compositionality prediction using distributional semantic models, evaluating to what extent they capture idiomaticity compared to human judgments. For evaluation, we introduce datasets containing human judgments in three languages: English, French and Portuguese. The results
doi:10.1162/coli_a_00341
fatcat:6wfaohmkkfcjnmxke64wob5qxm