Two phase indexes based passage retrieval in biomedical texts

Authors:
Ran Chen;Hongfei Lin;Zhihao Yang
Affiliations:
Department of Computer Science and Engineering, Dalian University of Technology, Dalian, China;Department of Computer Science and Engineering, Dalian University of Technology, Dalian, China;Department of Computer Science and Engineering, Dalian University of Technology, Dalian, China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

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Abstract

The biomedical literature is growing at a double-exponential pace. Passage-level retrieval is more effective to provide the information section than document-level retrieval. This paper presents a method of two phase indexes based passage retrieval. First two phase indexes: paragraph index and sentence-level half-overlapped windows index are built. Then, BM25 model is used to retrieval on the two phase indexes. At last, the passage and paragraph retrieval results are combined as the result of the passage retrieval. The experiment result shows that the performance is improved 5% with two phase indexes than only with the paragraph index.