Toward Never Ending Language Learning.
Justin Betteridge, J. Andrew Carlson, Sue Ann Hong, Estevam Rafael Hruschka Junior, Edith Law, Tom M. Mitchell, Sophie H. Wang · 2009
We report research toward a never-ending language learning system, focusing on a first implementation which learns to classify occurrences of noun phrases according to lexical categories such as “city ” and “university.” Our experiments suggest that the accuracy of classifiers produced by semi-supervised learning can be improved by coupling the learning of multiple classes based on background knowledge about relationships between the classes (e.g., ”university ” is mutually exclusive of ”company”, and is a subset of ”organization”).