This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learn...
To investigate whether Natural Language feedback improves learning, we developed two different feedback generation engines, that we systematically evaluated in a three way comparis...
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan ...
Persistent programming languages exhibit several requirements that affect the generation of native code, namely: garbage collection; arbitrary persistence of code, data and proces...
S. J. Bushell, Alan Dearle, Alfred L. Brown, Franc...
To collect data for sign language recognition is not a trivial task. The lack of training data has become a bottleneck in the research of singer independence and large vocabulary r...
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...