However, supervised approaches require huge amounts of annotated data (Zhong and Ng, 2010;Shen et al., 2013;Pilehvar and Navigli, 2014), an effort which cannot easily be repeated for new domains and languages, while unsupervised ones suffer from data sparsity and an intrinsic difficulty in their evaluation (Agirre et al., 2006;Brody and Lapata, 2009;Manandhar et al., 2010;Van de Cruys and Apidianaki, 2011;Di Marco and Navigli, 2013).
knowledge-based approaches are able to obtain good performance using readily-available structured knowledge (Agirre et al., 2010;Guo and Diab, 2010;Ponzetto and Navigli, 2010;Miller et al., 2012;Agirre et al., 2014).