One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Many computer simulations, experimental testing and monitoring of physical systems produce vast amounts of quantitative data. These data have always been assimilated by trained an...
Automatic generation of formal specifications from requirement reduces cost and complexity of formal models creation. Thus, the generated formal model brings the possibility to ca...
Abstract—Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language an...
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...