Before revision:  Results: We present Trove, a framework for weakly supervised entity classification using medical ontologies . We report state-of-the-art, weakly supervised performance on two NER benchmark datasets and establish new baselines for two entity classification tasks in clinical text. We perform within an average of 3.5 F1 points (4.2\%) of NER classifiers trained with hand-labeled data.
After revision:  Results: We present Trove, a framework for weakly supervised entity classification using medical ontologies and expert-generated rules. Our approach, unlike hand-labeled data.