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Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed.

, , , , , , , , , and . SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)

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Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed., , , , , , , , , and . SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources., , , , , , , , , and 1 other author(s). SWAT4LS, volume 2042 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature., , , , , , , , , and . J. Biomed. Semant., 9 (1): 13:1-13:24 (2018)Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes., , , , , , , , , and 5 other author(s). J. Biomed. Semant., 10 (1): 22:1-22:28 (2019)MetaMap versus BERT Models with Explainable Active Learning: Ontology-Based Experiments with Prior Knowledge for COVID-19., , , , , , , , , and 4 other author(s). SWAT4HCLS, volume 3127 of CEUR Workshop Proceedings, page 108-117. CEUR-WS.org, (2022)Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations., , , , , , , , and . ODLS, volume 1692 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2016)Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with Word2vec Embeddings and Transformer-Based BERT Models., , , , , , , , , and 3 other author(s). SGAI Conf., volume 13101 of Lecture Notes in Computer Science, page 158-163. Springer, (2021)Text-based phenotyping with Semantic Deep Learning: setting up experiments for women's health., , , , , , , , , and 1 other author(s). SWAT4HCLS, volume 3415 of CEUR Workshop Proceedings, page 161-162. CEUR-WS.org, (2023)