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Question Answering for Alzheimer Disease Using Information Retrieval
2012
Conference and Labs of the Evaluation Forum
With the tremendous growth of biomedical literature and data, it's no longer feasible for researchers to manually sift through this information for answering questions on specific topics. The "Machine Reading of Biomedical Texts about Alzheimer Disease" task of CLEF QA4MRE encouraged the development of systems that can automatically find answers to questions on Alzheimer disease. To this end, we developed several information retrieval(IR) and semantic web-based strategies. Our best performing
dblp:conf/clef/BhattacharyaT12
fatcat:py7wiseyxndqxfgwrbw4qahfny