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Abstract : |
Abstract. In this paper, we explored a learning approach which combines dierent learning methods in inductive logic programming (ILP) to allow a learner to produce more expressive hypotheses 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 classi-cation problems and each has its own characteristics which may or may not t a particular learning method. The task of semantic parser acquisition in two dierent domains was attempted and preliminary results demonstrated that such an approach is promising. 1, |
