Learning to Parse Natural Language Database Queries into Logical Form

For most natural language processing tasks, a parser that maps sentences into a semantic representation is signiicantly more useful than a grammar or au-tomata that simply recognizes syntactically well-formed strings. This paper reviews our work on using inductive logic programming methods to learn de-terministic shift-reduce parsers that translate natural language into a semantic representation. We focus on the task of mapping database queries directly into ex-ecutable logical form. An overview of the system is presented followed by recent experimental results on corpora of Spanish geography queries and English job-search queries.