Abstract
This paper describes research into the use of lexical chains to build effective Topic Tracking systems and compares the performance with a simple keyword-based approach. Lexical chaining is a method of grouping lexically related terms into so called lexical chains, using simple natural language processing techniques. Topic tracking involves tracking a given news event in a stream of news stories i.e. finding all subsequent stories in the news stream that discuss the given event. This paper describes the results of a novel topic tracking system, LexTrack, based on lexical chaining and compares it to a keyword-based system designed using traditional IR techniques.
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