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Information retrieval framework for technology survey in biomedical and chemistry literature

: Gurulingappa, Harsha; Müller, Bernd; Hofmann-Apitius, Martin; Fluck, Juliane

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Voorhees, E.M. ; National Institute of Standards and Technology -NIST-:
The Twentieth Text REtrieval Conference, TREC 2011. Proceedings : November 2011, Gaithersburg, Maryland, USA
Gaithersburg, MD: NIST, 2011 (NIST special publication 500-295)
4 S.
Text REtrieval Conference (TREC) <20, 2011, Gaithersburg/Md.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer SCAI ()

The Technology survey task deals with the retrieval of information that can best answer a scientific question. This task is more challenging in biomedical and chemistry domains due to diverse conventions applied for naming the entities. In order to address this challenge, the work reported here presents an ad-hoc retrieval task that has been evaluated during the TRECCHEM-2011 for its ability to support retrieval from the biomedical and chemistry literature. The core of the framework contains nearly 1.3 million patents and full-text articles that were indexed with pre-selected biomedical concepts. Altogether, four runs were submitted based on different query formulation strategies and they exhibited competitive results.