Large-scale learning of word relatedness with constraints
KDD, pp. 1406-1414, 2012.
Prior work on computing semantic relatedness of words focused on representing their meaning in isolation, effectively disregarding inter-word affinities. We propose a large-scale data mining approach to learning word-word relatedness, where known pairs of related words impose constraints on the learning process. We learn for each word a l...More
PPT (Upload PPT)