A cluster-based approach to broadcast news

Authors:
David Eichmann;Padmini Srinivasan
Affiliations:
School of Library and Information Science, The University of Iowa, Iowa City, Iowa;School of Library and Information Science, The University of Iowa, Iowa City, Iowa
Venue:
Topic detection and tracking
Year:
2002

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Abstract

We present an approach to detection and tracking of topics in multilingual broadcast news based upon a dynamic clustering scheme. Our approach derives from a system used to filter Web searches from multiple sources, with extensions for pipelining document clusters, part-of-speech tagging and extraction of named entities for use in an extended similarity measure.