Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing (2001)
In this paper, we explored a learning approach which combines different learning methods in inductive logic programming (ILP) to allow a learner to produce more expressive hypothese than that of each individual learner. Such a learning approach may be useful when the performance of the task depends on solving a large amount of classification problems and each has its own characteristics which may or may not fit a particular learning method. The task of sematnic parser acquisition in two different domains was attempted and preliminary results demonstrated that such an approach is promising.
In Proceedings of the 12th European Conference on Machine Learning, pp. 466-477, Freiburg, Germany 2001.

Raymond J. Mooney Faculty mooney [at] cs utexas edu
Lappoon R. Tang Ph.D. Alumni ltang [at] utb edu