We study self-training with products of latent variable grammars in this paper. We show that increasing the quality of the automatically parsed data used for self-training gives h...
We present an error-detection and -correction approach for spreadsheets that automatically generates questions about input/output pairs and, depending on the feedback given by the...
This paper describes the referring expression generation mechanisms used in EPICURE, a computer program which produces natural language descriptions of cookery recipes. Major feat...
Abstract. In our research we are studying how to combine modelling, metamodelling, and reflection to systematically generate middleware configurations that can be targeted at diffe...
Nelly Bencomo, Gordon S. Blair, Geoff Coulson, Tha...
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...