Learning Unification-Based Grammars Using the Spoken English Corpus
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Some chart-based techniques for parsing ill-formed input
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Incorporating linguistics constraints into inductive logic programming
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Learning to parse database queries using inductive logic programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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We use Inductive Logic Programming (ILP) within a chartparsing framework for grammar learning. Given an existing grammar G, together with some sentences which G can not parse, we use ILP to find the "missing" grammar rules or lexical items. Our aim is to exploit the inductive capabilities of chart parsing, i.e. the ability to efficiently determine what is needed for a parse. For each unparsable sentence, we find actual edges and needed edges: those which are needed to allow a parse. The former are used as background knowledge for the ILP algorithm (PProgol) and the latter are used as examples for the ILP algorithm. We demonstrate our approach with a number of experiments using contextfree grammars and a feature grammar.