As evidenced by a range of evaluations (Andrews et al., 2009;Bruni et al., 2014;Silberer et al., 2016), multimodal models can learn better semantic word representations (a.k.a.
existing models ignore either the associative relations among modalities, associative relations among relative words, or the different contributions of each modality.