Ulisse Bordignon

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Traditional distributional semantic models extract word meaning representations from cooccurrence patterns of words in text corpora. Recently, the distributional approach has been extended to models that record the cooccurrence of words with visual features in image collections. These image-based models should be complementary to text-based ones, providing(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-theshelf VSEM functionalities. VSEM is entirely written in MATLAB and its objectoriented design allows a large flexibility and reusability. The software is accompanied by(More)
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