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Towards a better ranking for biomedical information retrieval using context

  • Xiaoshi Yin*
  • , Xiangji Huang
  • , Zhoujun Li
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009
Pages344-349
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009 - Washington, D.C., United States
Duration: 1 Nov 20094 Nov 2009

Publication series

Name2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009

Conference

Conference2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009
Country/TerritoryUnited States
CityWashington, D.C.
Period1/11/094/11/09

Keywords

  • Biomedical literature retrieval
  • Context sensitive information retrieval
  • Re-ranking

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