Probabilistic Models for Ontology Learning: Transitivity in semantic relation learning

Probabilistic Models for Ontology Learning: Transitivity in semantic relation learning, 2012.

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Abstract:

Capturing word meaning is one of the challenges of natural language processing (NLP). Formal models of meaning such as semantic 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. Our main goal is to c...More

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