Silberer and Lapata ( 2012 ) introduce a new method of multimodal integration based on Canonical Correlation Analysis , and performs a systematic comparison between their CCA-based model and others on association norm prediction , held out feature prediction , and word similarity .
grounded models of semantic representation
Carina Silberer Mirella Lapata
Johns and Jones ( 2012 ) take an entirely different approach by showing that one can successfully infer held out feature norms from weighted mixtures based on textual similarity . Silberer and Lapata ( 2012 ) introduce a new method of multimodal integration based on Canonical Correlation Analysis , and performs a systematic comparison between their CCA-based model and others on association norm prediction , held out feature prediction , and word similarity . As computer vision techniques have improved over the past decade , other research has begun directly using visual information in place of feature norms .
@@CITATION introduce a new method of multimodal integration based on Canonical Correlation Analysis , and performs a systematic comparison between their CCA-based model and others on association norm prediction , held out feature prediction , and word similarity .