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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.
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Department of Computer Science and Engineering, Dalian University of Technology, 116024 Dalian, China
Ran Chen, Hongfei Lin & Zhihao Yang
- Ran Chen
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- Hongfei Lin
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- Zhihao Yang
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Chen, R., Lin, H., Yang, Z. (2007). Two Phase Indexes Based Passage Retrieval in Biomedical Texts. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_79
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