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Improving novelty detection for general topics using sentence level information patterns
2006
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identification of sentence level information patterns is proposed. First, the information-pattern concept for novelty detection is presented with the emphasis on new information patterns for general topics (queries) that cannot be simply turned into specific questions whose answers are specific named entities (NEs). Then we
doi:10.1145/1183614.1183652
dblp:conf/cikm/LiC06
fatcat:l2iut7pxnrcz3lgbqlv2qr3w5y