Improvisation is rapidly becoming an important issue for both scholars and practitioners. Organizations that operate in turbulent environments must learn to swiftly adapt and resp...
Attentive systems pay attention to what users do so that they can attend to what users need. Such systems track user behavior, model user interests, and anticipate user desires an...
Paul P. Maglio, Rob Barrett, Christopher S. Campbe...
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Parallel web pages are important source of training data for statistical machine translation. In this paper, we present a new approach to sentence alignment on parallel web pages....
The effort and time required to develop user interface models has been one of the main limitations to the adoption of model-based approaches, which enable intelligent processing o...
Federico Bellucci, Giuseppe Ghiani, Fabio Patern&o...