It has also been shown to be useful in joint inference of text with visual attributes obtained using visual classifiers ( Silberer et al. , 2013 ) .
models of semantic representation with visual attributes
Carina Silberer Vittorio Ferrari Mirella Lapata
Previously LDA has been successfully used to infer unsupervised joint topic distributions over words and feature norms together ( Andrews et al. , 2009 ; Silberer and Lapata , 2012 ) . It has also been shown to be useful in joint inference of text with visual attributes obtained using visual classifiers ( Silberer et al. , 2013 ) . These multimodal LDA models ( hereafter , mLDA ) have been shown to be qualitatively sensible and highly predictive of several psycholinguistic tasks ( Andrews et al. , 2009 ) .
It has also been shown to be useful in joint inference of text with visual attributes obtained using visual classifiers ( @@CITATION ) .