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Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach.

, , , , , , and . HISB, page 84. IEEE Computer Society, (2012)

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Mining FDA drug labels for medical conditions., , , , , , , , and . BMC Medical Informatics Decis. Mak., (2013)Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements., , , , , , , , and . J. Am. Medical Informatics Assoc., 21 (3): 406-413 (2014)Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach., , , , , , and . HISB, page 84. IEEE Computer Society, (2012)Building Gold Standard Corpora for Medical Natural Language Processing Tasks., , , , , , , , and . AMIA, AMIA, (2012)A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction., , , , , , and . J. Am. Medical Informatics Assoc., 20 (5): 915-921 (2013)Cheap, Fast, and Good Enough for the Non-biomedical Domain but is It Usable for Clinical Natural Language Processing? Evaluating Crowdsourcing for Clinical Trial Announcement Named Entity Annotations., , , , , , and . HISB, page 106. IEEE Computer Society, (2012)Pre-annotating Clinical Notes and Clinical Trial Announcements for Gold Standard Corpus Development: Evaluating the Impact on Annotation Speed and Potential Bias., , , , , , , , and . HISB, page 108. IEEE Computer Society, (2012)