University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks

In TREC 2012, we focus on tackling the new challenges posed by the Medical, Microblog and Web tracks, using our Terrier Information Retrieval Platform. In particular, for the Medical track, we investigate how to exploit implicit knowledge within medical records, with the aim of better identifying those records from patients with specific medical conditions. For the Microblog track adhoc task, we investigate novel techniques to leverage documents hyperlinked from tweets to better estimate relevance of those tweets and increase recall. Meanwhile, for the Microblog track filtering task, we developed a new stream processing infrastructure for real-time adaptive filtering on top of the Storm framework. For the TREC Web track, we continue to build upon our learning-to-rank approaches and novel xQuAD framework within Terrier, increasing both effectiveness and efficiency when ranking.

Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L. T. Santos, and Iadh Ounis
University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks
Proceedings of TREC 2012

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