Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
Abstract
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 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 classification problems and each has its own characteristics which may or may not fit a particular learning method. The task of semantic parser acquisition in two different domains was attempted and preliminary results demonstrated that such an approach is promising.
Cite
Text
Tang and Mooney. "Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing." European Conference on Machine Learning, 2001. doi:10.1007/3-540-44795-4_40Markdown
[Tang and Mooney. "Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing." European Conference on Machine Learning, 2001.](https://mlanthology.org/ecmlpkdd/2001/tang2001ecml-using/) doi:10.1007/3-540-44795-4_40BibTeX
@inproceedings{tang2001ecml-using,
title = {{Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing}},
author = {Tang, Lappoon R. and Mooney, Raymond J.},
booktitle = {European Conference on Machine Learning},
year = {2001},
pages = {466-477},
doi = {10.1007/3-540-44795-4_40},
url = {https://mlanthology.org/ecmlpkdd/2001/tang2001ecml-using/}
}