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• W1972694920 abstract "Literature-based discovery (LBD) refers to a particular type of text mining that seeks to identify nontrivial assertions that are implicit, and not explicitly stated, and that are detected by juxtaposing (generally a large body of) documents. In this review, I will provide a brief overview of LBD, both past and present, and will propose some new directions for the next decade. The prevalent ABC model is not “wrong”; however, it is only one of several different types of models that can contribute to the development of the next generation of LBD tools. Perhaps the most urgent need is to develop a series of objective literature-based interestingness measures, which can customize the output of LBD systems for different types of scientific investigations." @default.
• W1972694920 created "2016-06-24" @default.
• W1972694920 creator A5033859037 @default.
• W1972694920 date "2011-07-26" @default.
• W1972694920 modified "2023-10-16" @default.
• W1972694920 title "Literature-based discovery: Beyond the ABCs" @default.
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• W1972694920 doi "https://doi.org/10.1002/asi.21599" @default.
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