Learning to parse database queries using inductive logic programming (1996) [53 citations — 14 self]
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@INPROCEEDINGS{Zelle96learningto,author = {John M. Zelle and Raymond J. Mooney},
title = {Learning to parse database queries using inductive logic programming},
booktitle = {In Proceedings of the Thirteenth National Conference on Artificial Intelligence},
year = {1996},
pages = {1050--1055}
}
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Abstract:
This paper presents recent work using the Chill parser acquisition system to automate the construction of a natural-language interface for database queries. Chill treats parser acquisition as the learning of search-control rules within a logic program representing a shift-reduce parser and uses techniques from Inductive Logic Programming to learn relational control knowledge. Starting with a general framework for constructing a suitable logical form, Chill is able to train on a corpus comprising sentences paired with database queries and induce parsers that map subsequent sentences directly into executable queries. Experimental results with a complete database-query application for U.S. geography show that Chill is able to learn parsers that outperform a preexisting, hand-crafted counterpart. These results demonstrate the ability of a corpus-based system to produce more than purely syntactic representations. They also provide direct evidence of the utility of an empirical approach at the level of a complete natural language application.
