Dr. Durrett's research covers a range of topics in statistical natural language processing, including coreference resolution, entity linking, and syntactic parsing. Taken together, solving these problems lets computers access the information in unstructured text in a structured way. Dealing with something as sophisticated as language requires structured modeling approaches, from probabilistic graphical models to deep neural networks, as well as scalable learning and inference techniques to train those models on large datasets.