Content Selection Challenge - University of Aberdeen Entry

摘要

Bouayad-Agha et al. (2012) issued a content determination challenge in which researchers were asked to create systems that can automatically select content suitable for a first paragraph in a Wikipedia article from an RDF knowledge base of information about people. This article is a description of the system built at the University of Aberdeen. Our working assumption is that the target text should contain information that is commonly known about the target person. The Wikipedia's manual of style mentions that "The lead [section] serves as an introduction to the article and a summary of its most important aspects." What is most important about a person is likely to be often mentioned in biographies and hence it is more likely to be commonly known.