Selecting Labels for News Document Clusters

TitleSelecting Labels for News Document Clusters
Publication TypeConference Paper
Year of Publication2007
AuthorsM. Shaik, Krishnaprasad Thirunarayan, Trivikram Immaneni
Conference NameSelecting Labels for News Document Clusters
Abstract

This work deals with determination of meaningful and terse cluster labels for News document clusters. We analyze a number of alternatives for selecting headlines and/or sentences of document in a document cluster (obtained as a result of an entity-event-duration query), and formalize an approach to extracting a short phrase from well-supported headlines/sentences of the cluster that can serve as the cluster label. Our technique maps a sentence into a set of significant stems to approximate its semantics, for comparison. Eventually a cluster label is extracted from a selected headline/sentence as a contiguous sequence of words, resuscitating word sequencing information lost in the formalization of semantic equivalence.

Full Text

K. Thirunarayan, T. Immaneni, and M. Shaik, Selecting Labels for News Document Clusters, In: Proceedings of 12th International Conference on Applications of Natural Language to Information Systems (NLDB 2007), LNCS 4592, pp. 119-130, June 2007.