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Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing (2001)
Lappoon R. Tang
and
Raymond J. Mooney
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.
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Citation:
In
Proceedings of the 12th European Conference on Machine Learning
, 466-477, Freiburg, Germany, 2001.
Bibtex:
@InProceedings{tang:ecml01, title={Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing}, author={Lappoon R. Tang and Raymond J. Mooney}, booktitle={Proceedings of the 12th European Conference on Machine Learning}, address={Freiburg, Germany}, key={CHILL ILP}, pages={466-477}, url="http://nn.cs.utexas.edu/?tang:ecml01", year={2001} }
People
Raymond J. Mooney
mooney [at] cs utexas edu
Lappoon R. Tang
Undergraduate Alumni
ltang [at] utb edu
Areas of Interest
Inductive Logic Programming
Learning for Semantic Parsing
Machine Learning