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Learning Disentangled Representations of Negation and Uncertainty., , , and . ACL (1), page 8380-8397. Association for Computational Linguistics, (2022)Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT., , , , , , and . AIME, volume 12299 of Lecture Notes in Computer Science, page 67-77. Springer, (2020)Contextualized medication event extraction with levitated markers., , , , and . J. Biomed. Informatics, (May 2023)Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature., , , , , , , , , and . J. Biomed. Informatics, (2022)Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph., , , , , , , , and . BIBM, page 1649-1652. IEEE Computer Society, (2018)Normalizing Dietary Supplement Product Names Using the RxNorm Model., , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 408-412. IOS Press, (2019)Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution., , , , , , , , and . AMIA, AMIA, (2022)ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread, , , , , and . (2024)Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements., , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 323-327. IOS Press, (2019)Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature., , , , , , , , , and . CoRR, (2021)