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Table 9 Performance of CBOW and Skip-gram - Experiment I and Experiment II: Number of unique UniProtKB entries mapped to CVDO gene and protein classes that participated in Experiment I or II

From: Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature

  1. The rows with grey background remark the 48 UniProtKB entries that participate in both Experiment I and II. Each row of the third column contains the number of target terms for the experiment taking into account the number of UniProtKB entries. According to the voting system, for each model and experiment, the last three columns show: the number of full term variants among the top twelve ranked candidate terms for the UniProtKB entries (Number FTV column); the number of full term variants among the top three ranked candidate terms for the UniProtKB entries (Number FTV for top three); and the number of term variants (i.e. FTV and/or PTV) among the top twelve ranked candidate terms for the UniProtKB entries (Number TV column)
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Journal of Biomedical Semantics

ISSN: 2041-1480