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Research Interests
The focus of my research is scalable clustering methods with an application focus on entity resolution. In particular, developing clustering methods that scale to massive numbers of clusters (entities) and points (entity mentions). I am also interested in extending these methods to model dependencies between the cluster (entity) assignments of points (mentions). My research includes models to learn robust entity representations, in particular modeling mention spellings. I am interested in the combination of entity linking and resolution, a problem setting where we are given an initial knowledge base and discover new entities as more data arrives.