Journal Articles

An information-pattern-based approach to novelty detection

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In this paper, a new novelty detection approach based on the identification of sentence level information patterns
is proposed. First, “novelty” is redefined based on the proposed information patterns, and several different types
of information patterns are given corresponding to different types of users’ information needs.
Second, a thorough analysis of sentence level information patterns is elaborated using data from the TREC novelty tracks, including sentence lengths, named entities (NEs), and sentence level opinion patterns. Finally, a unified information-pattern-based approach to novelty detection (ip-BAND) is presented for both specific NE topics and more general topics. Experiments on novelty detection on data from the TREC 2002, 2003 and 2004 novelty tracks show that the proposed approach significantly improves the performance of novelty detection in terms of precision at top ranks. Future research directions are suggested.

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Detail Information

Series Title

Information Processing & Management

Call Number

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Publisher

s.l. : Elsevier., 2008

Collation

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Language

English

ISBN/ISSN

0306-4573

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

Vol. 44, No. 3, Page 1159-1188

Subject(s)

Information retrieval
Novelty detection
Question answering
Information patterns
Named entities

Specific Detail Info

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Statement of Responsibility

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