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Evolution of anatomical concept usage over time: mining 200 years of biodiversity literature.

, and . SBD@SIGMOD, page 4:1-4:6. ACM, (2017)

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Phenoscape: Semantic analysis of organismal traits and genes yields insights in evolutionary biology., , , , , , , and . Application of Semantic Technology in Biodiversity Science, volume 33 of Studies on the Semantic Web, IOS Press, (2018)Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems., , , , , , , , and . Database J. Biol. Databases Curation, (2018)A multi-modal machine learning approach towards predicting patient readmission., , , , and . BIBM, page 2027-2035. IEEE, (2020)Ontology-powered Semantic Similarity of Biological and Biomedical Entities - The Story So Far, and The Road Ahead.. BIOINFORMATICS, page 216-225. SciTePress, (2019)978-989-758-353-7.On the Statistical Sensitivity of Semantic Similarity Metrics., and . ICBO, volume 2285 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Taking a Dive: Experiments in Deep Learning for Automatic Ontology-Based Annotation of Scientific Literature., , and . ICBO, volume 2285 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Using Ontology Embeddings With Deep Learning Architectures to Improve Prediction of Ontology Concepts From Literature., , and . ICBO, volume 3603 of CEUR Workshop Proceedings, page 118-129. CEUR-WS.org, (2023)Measuring the Importance of Annotation Granularity to the Detection of Semantic Similarity Between Phenotype Profiles., , and . ICBO/BioCreative, volume 1747 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)AgBase: supporting functional modeling in agricultural organisms., , , , , , , , , and 2 other author(s). Nucleic Acids Res., 39 (Database-Issue): 497-506 (2011)Evolution of anatomical concept usage over time: mining 200 years of biodiversity literature., and . SBD@SIGMOD, page 4:1-4:6. ACM, (2017)