Paper: Incorporating Linguistics Constraints Into Inductive Logic Programming

ACL ID W00-0740
Title Incorporating Linguistics Constraints Into Inductive Logic Programming
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2000
Authors

We report work on effectively incorporating lin- guistic knowledge into grammar induction. We use a highly interactive bottom-up inductive logic programming (ILP) algorithm to learn 'missing' grammar rules from an :incomplete grammar. Using linguistic constraints on, for example, head features and gap threading, re- duces the search space to such an extent that, in the small-scale experiments reported here, we can generate and store all candidate gram- mar rules together with information about their coverage and linguistic properties. This allows an appealingly simple and controlled method for generating linguistically plausible grammar rules. Starting from a base of highly spe- cific rules, we apply least general generalisation and inverse resolution to generate more general rules. Induce...