This paper presents results from recent experiments with CHILL, a corpus-based parser acquisition system. CHILL treats grammar acquisition as the learning of search-control rules within a logic program. Unlike many current corpus-based approaches that use propositional or probabilistic learning algorithms, CHILL uses techniques from inductive logic programming (ILP) to learn relational representations. The reported experiments compare CHILL's performance to that of a more naive application of ILP to parser acquisition. The results show that ILP techniques, as employed in CHILL, are a viable alternative to propositional methods and that the control-rule framework is fundamental to CHILL's success.

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In Working Notes of the IJCAI-95 Workshop on New Approaches to Learning for Natural Language Processing, pp. 79--86, Montreal, Quebec, Canada, August 1995.

@InProceedings{chill-ijcai-nll-95, title={A Comparison of Two Methods Employing Inductive Logic Programming for Corpus-based Parser Constuction}, author={John M. Zelle and Raymond J. Mooney}, booktitle={Working Notes of the IJCAI-95 Workshop on New Approaches to Learning for Natural Language Processing}, month={August}, address={Montreal, Quebec, Canada}, pages={79--86}, url="http://www.cs.utexas.edu/users/ai-lab?chill-ijcai-nll-95", year={1995} }