A Comparison of Two Methods Employing Inductive Logic Programming for Corpus-based Parser Constuction (1995)
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.
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.

Raymond J. Mooney Faculty mooney [at] cs utexas edu
John M. Zelle Ph.D. Alumni john zelle [at] wartburg edu