Inductive probabilistic taxonomy learning using singular value decomposition
Natural Language Engineering, pp. 71-94, 2011.
Capturing word meaning is one of the challenges of natural language processing (NLP). Formal models of meaning, such as networks of words or concepts, are knowledge repositories used in a variety of applications. To be effectively used, these networks have to be large or, at least, adapted to specific domains. Learning word meaning from t...More
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