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Search engines running on scientific literature have been widely used by life scientists to find publications related to their research. However, existing search engines in the life-science domain, such as PubMed, have limitations when applied to exploring and analyzing factual knowledge (e.g., disease-gene associations) in massive text corpora. These limitations are mainly due to the problems that factual information exists as an unstructured form in text, and also keyword and MeSH term-baseddoi:10.18653/v1/p17-4010 dblp:conf/acl/RenSQWWZJTSLPWH17 fatcat:l4imv6rw6zeqzaxsroze3i4g4u