A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
Many computer vision systems try to infer semantic information about a video scene content by looking at the time series of the silhouettes of the moving objects. This paper propo...
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Abstract--The success of information and knowledge management depends on understanding and supporting the user's need to know. This requires understanding humans' abiliti...
We are developing a computer system which provides information about babies in neonatal intensive care to family members and friends. A key challenge is deciding what information ...