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Towards a better ranking for biomedical information retrieval using context

  • Xiaoshi Yin*
  • , Xiangji Huang
  • , Zhoujun Li
  • *此作品的通讯作者
  • Beihang University
  • York University Toronto

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we present a context-sensitive approach for re-ranking retrieved documents for further improving the effectiveness of high-performance biomedical literature retrieval systems. For each topic, a two-dimensional context is learnt from the top N and the last N′ documents in initial retrieval ranked list, which contains lexical context and conceptual context. The probabilities that retrieved documents are generated within the contextual space are then computed for document re-ranking. Empirical evaluation on the TREC Genomics full-text collection and two strong biomedical literature retrieval runs demonstrates that the context-sensitive re-ranking approach yields better retrieval performance.

源语言英语
主期刊名2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009
344-349
页数6
DOI
出版状态已出版 - 2009
活动2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009 - Washington, D.C., 美国
期限: 1 11月 20094 11月 2009

出版系列

姓名2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009

会议

会议2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009
国家/地区美国
Washington, D.C.
时期1/11/094/11/09

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