Large-scale learning of word relatedness with constraints

KDD, pp. 1406-1414, 2012.

Cited by: 209|Bibtex|Views114|DOI:https://doi.org/10.1145/2339530.2339751
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

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

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