7. The method of claim 1 , wherein computing the summary information comprises, using supervised or unsupervised clustering of selected document scopes to compute the summary information, taking weights associated with different scopes into account, the summary information responding to the probability of cluster membership.
1. A method for computing summary information on documents, wherein the method comprises: identifying, by a computer, a result set of matching documents and query-dependent subsections of the matching documents by applying a query to a set of documents, computing summary information, the summary information comprising a plurality of aggregated summary value metrics (SVMs), each of the aggregated SVMs corresponding to a different attribute-value pair in a plurality of attribute-value pairs, each of the attribute-value pairs specifying a different value of a single attribute, wherein for each of the aggregated SVMs, the aggregated SVM for an attribute-value pair is a measure of a probability that, within a given scope within the matching documents, the attribute of the attribute-value pair has the value of the attribute-value pair; and displaying a graphical user interface object that presents the summary information to a user.