The Language and Information Technologies group harnesses AI to understand how people interact with information systems and develop new methods for effective and scalable language understanding. Our research interests are at the intersection of natural language understanding, applied machine learning and information retrieval. Our work involves analyzing large-scale text and user behavior data to understand how users interact with information, build models for extracting knowledge from unstructured text and help users complete tasks and find information efficiently.
Our work has application in content understanding, intelligent assistants, search, personalization, and user satisfaction modeling. Our work has been shipped in several experiences and products such as Bing, Cortana, Office 365, and Dynamics 365.