Neural word representations are at the core of many state-of-the-art natural language processing models. A widely used approach is to pre-train, store... Read More

A significant barrier to progress in data-driven approaches to building dialog systems is the lack of high quality, goal-oriented conversational data. To... Read More

Open domain dialogues face the challenge of being repetitive and producing generic responses. In this paper, we demonstrate that we are able... Read More

Natural language is hierarchically structured: smaller units (e.g., phrases) are nested within larger units (e.g., clauses). When a larger constituent ends, all... Read More

We present an approach to event coreference resolution by developing a general framework for clustering that uses supervised representation learning. We propose... Read More