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Traditional distributional semantic models extract word meaning representations from co-occurrence patterns of words in text corpora. Recently, the distributional approach has been extended to models that record the co-occurrence of words with visual features in image collections. These image-based models should be complementary to text-based ones,(More)
VSEM is an open library for visual semantics. Starting from a collection of tagged images, it is possible to automatically construct an image-based representation of concepts by using off-the-shelf VSEM functionalities. VSEM is entirely written in MATLAB and its object-oriented design allows a large flexibility and reusability. The software is accompanied(More)
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