Columbia's newsblaster: new features and future directions

Authors:
Kathleen McKeown;Regina Barzilay;John Chen;David Elson;David Evans;Judith Klavans;Ani Nenkova;Barry Schiffman;Sergey Sigelman
Affiliations:
Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.;Columbia University, New York, N.Y.
Venue:
NAACL-Demonstrations '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations - Volume 4
Year:
2003

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Abstract

Columbia's Newsblaster tracking and summarization system is a robust system that clusters news into events, categorizes events into broad topics and summarizes multiple articles on each event. Here we outline our most current work on tracking events over days, producing summaries that update a user on new information about an event, outlining the perspectives of news coming from different countries and clustering and summarizing non-English sources.