This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
Statistical user simulation is a promising methodology to train and evaluate the performance of (spoken) dialog systems. We work with a modular architecture for data-driven simula...
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...
As information environments grow in complexity, we yearn for simple interfaces that streamline human cognition and effort. Users need to perform complex operations on thousands of...
A Machine Translation (MT) system is an automatic process that translates from one human language to another language by using context information. We evaluate the use of an MT-ba...
Mohammed Aljlayl, Ophir Frieder, David A. Grossman