In this paper, we explore different usages of features and propose an approach which mines cross document information to capture the person specific importance for a feature.
we construct a semantic graph from Wikipedia concepts appearing in all documents that contain the target name (which we refer to name observation set), then group them into several topics and further weight each feature by considering both the relatedness of the feature to its corresponding topic and the importance of this topic in the current name observation set.