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Sequence labeling is a widely used method for named entity recognition and information extraction from unstructured natural language data. In the clinical domain one major application of sequence labeling involves extraction of relevant entities such as medication, indication, and side-effects from Electronic Health Record Narratives. Sequence labeling in this domain presents its own set of challenges and objectives. In this work we experiment with Conditional Random Field based structureddoi:10.18653/v1/d16-1082 dblp:conf/emnlp/JagannathaY16 fatcat:3ne5lqrcwfckjatpvavebbopna