Because they cannot capture the meaning of longer phrases properly, compositionality in semantic vector spaces has recently received a lot of attention (Mitchell and Lapata, 2010;Socher et al., 2010;Zanzotto et al., 2010;Yessenalina and Cardie, 2011;Grefenstette et al., 2013).
progress is held back by the current lack of large and labeled compositionality resources and models to accurately capture the underlying phenomena presented in such data.