Publication | Open Access
The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering
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2015
Year
EngineeringFudan TeamCorpus LinguisticsText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsLanguage StudiesBiomedical Text MiningMachine TranslationBiomedical OntologyFudan ParticipationTranslational BioinformaticsQuestion AnsweringNlp TaskOmicsBiomedical Question AnsweringBioasq ChallengeSystems BiologyLinguistics
This article describes the participation of Fudan team in the 2015 BioASQ challenge. The challenge consists of two tasks, large- scale biomedical semantic indexing (task 3a) and biomedical question answering (task 3b). In task 3a, our method, MeSHLabeler, achieved the rst place in all 15 weeks of three batches. Based on 3215 annotated citations (June 6, 2015) out of all 4435 citations in the ocial
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