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Ranking studies for systematic reviews using query adaptation : University of Sheffield's approach to CLEF eHealth 2019 task 2 working notes for CLEF 2019
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Abstract:
This paper describes the University of Sheffield’s approach to the CLEF 2019 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. This task focuses on identifying relevant studies for systematic reviews. The University of Sheffield participated in subtask 2 (Abstract and Title Screening). Our approach used lexical statistics (LogLikelihood, Chi-Squared and Odds-Ratio) to identify terms that retrieve specific types of evidence. A total of 12 official runs were submitted.
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URL: http://eprints.whiterose.ac.uk/150007/ http://ceur-ws.org/Vol-2380/paper_185.pdf http://eprints.whiterose.ac.uk/150007/1/paper_185.pdf
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Improving ranking for systematic reviews using query adaptation
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CLEF 2017 NewsREEL overview: A stream-based recommender task for evaluation and education
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The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering
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CEA LIST's participation at the CLEF CHiC 2013
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In: 2013 Cross Language Evaluation Forum Conference, CLEF 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844707 ; 2013 Cross Language Evaluation Forum Conference, CLEF 2013, Sep 2013, Valencia, Spain (2013)
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Overview of iCLEF 2008: Search Log Analysis for Multilingual Image Retrieval.
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GeoCLEF 2007: the CLEF 2007 cross-language geographic information retrieval track overview
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From CLEF to TrebleCLEF: promoting technology transfer for multilingual information retrieval
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