Corpus ID: 6861302

ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval

  title={ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval},
  author={Hongyu Liu and Yang Song and Yun He and Yueyao Wang and Qinmin Hu and Liang He},
In this paper, we present our work in TREC 2016 Clinical Decision Support Track. Among five submitted runs, two of them are based on summary topics and the others on note topics. In summary version run, we expand the original text with external data on web. Note topics are much longer than the summary, which contain a significant number of medical abbreviations as well as other linguistic jargon and style. An automatic method and a manual method are applied to process note topics. In the… Expand
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Probabilistic Models in Information Retrieval
  • N. Fuhr
  • Computer Science
  • Comput. J.
  • 1992
An introduction and survey over probabilistic information retrieval (IR) is given: the probability-ranking principle shows that optimum retrieval quality can be achieved under certain assumptions; a conceptual model for IR along with the corresponding event space clarify the interpretation of the Probabilistic parameters involved. Expand
Probability models for information retrieval based on divergence from randomness
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Implicit feedback for inferring user preference: a bibliography
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terrier information retrieval platform. advances in information retrieval
  • terrier information retrieval platform. advances in information retrieval
  • 2005
terrier information retrieval platform. advances in information retrieval
  • 2005
Hersh . Overview of the TREC 2015 Clinical Decision Support Track
  • 2003