Abstract
Passage retrieval is important for the users of the biomedical literature. How to extract a passage from a natural paragraph presents a challenge problem. In this paper, we focus on analyzing the gold standard of the TREC 2006 Genomics Track and simulating the distributions of standard passages. Hence, we present an efficient dynamic window based algorithm with a WordSentenceParsed method to extract passages. This algorithm has two important characteristics. First, we obtain the criteria for passage extraction through learning the gold standard, then do a comprehensive study on the 2006 and 2007 Genomics datasets. Second, the algorithm we proposed is dynamic with the criteria, which can adjust to the length of passage. Finally, we find that the proposed dynamic algorithm with the WordSentenceParsed method can boost the passage-level retrieval performance significantly on the 2006 and 2007 Genomics datasets.
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Hu, Q., Huang, X. (2008). A Dynamic Window Based Passage Extraction Algorithm for Genomics Information Retrieval. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science(), vol 4994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68123-6_47
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DOI: https://doi.org/10.1007/978-3-540-68123-6_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68122-9
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