Our experiments are based on the multimodal extension of Latent Dirichlet Allocation developed by Andrews et al. ( 2009 ) .
integrating experiential and distributional data to learn semantic representations
Mark Andrews Gabriella Vigliocco David Vinson
Our experiments are based on the multimodal extension of Latent Dirichlet Allocation developed by Andrews et al. ( 2009 ) . 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 ) .
Our experiments are based on the multimodal extension of Latent Dirichlet Allocation developed by @@CITATION .