Sukre
Semi-supervised coreference resolution. We investigate two approaches to improving coreference resolution: cheap acquisition of new information and better exploitation of existing information. We will develop an interactive visualization approach to semi-supervised training set generation and develop new methods based on global features that exploit the training data much better than in the state of the art.