Dr. Guergana Savova's research interests are in natural language processing (NLP) especially as applied to the text generated by physicians (the clinical narrative). This is usually referred to as clinical NLP. She has been creating gold standard annotated resources based on computable definitions and developing methods for computable solutions. The focus of Dr. Savova's research is higher level semantic and discourse processing of the clinical narrative which includes tasks such as named entity recognition, event recognition, relation detection and classification including coreference and temporal relations. The methods are mostly machine learning spanning supervised, lightly supervised and completely unsupervised.