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Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms., and . CoRR, (2015)Using Topic Models to Interpret MEDLINE's Medical Subject Headings., , and . Australasian Conference on Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, page 270-279. Springer, (2009)Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective., , , , and . CoRR, (2019)Visualizing search results and document collections using topic maps., , , , , , , and . J. Web Semant., 8 (2-3): 169-175 (2010)Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums., and . BMDID@ISWC, volume 1709 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge., , and . BioNLP@ACL, page 478-487. Association for Computational Linguistics, (2019)SciHarvester: Searching Scientific Documents for Numerical Values., , , , , , , and . SIGIR, page 3135-3139. ACM, (2023)Differences between social media and regulatory databases in adverse drug reaction discovery., and . SoMeRA@SIGIR, page 13-14. ACM, (2014)Evaluation of text-processing algorithms for adverse drug event extraction from social media., , and . SoMeRA@SIGIR, page 15-20. ACM, (2014)CSIRO at 2019 TREC Precision Medicine Track., , and . TREC, volume 1250 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)