Paper: MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds

ACL ID S13-2026
Title MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes the system submitted by the MELODI team for the SemEval-2013 Task 4: Free Paraphrases of Noun Compounds (Hendrickx et al., 2013). Our approach com- bines the strength of an unsupervised distri- butional word space model with a supervised maximum-entropy classification model; the distributional model yields a feature represen- tation for a particular compound noun, which is subsequently used by the classifier to induce a number of appropriate paraphrases.