Learning to Parse Natural Language Database Queries into Logical Form
Learning to Parse Natural Language Database Queries into Logical Form
复制标题
学习将自然语言数据库查询解析为逻辑形式
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
Cynthia A. Thompson and Raymond J. Mooney and Lappoon R. Tang
中科院分区：
文献类型：
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作者：
Cynthia A. Thompson and Raymond J. Mooney and Lappoon R. Tang
For most natural language processing tasks, a parser that maps sentences into a semantic representation is signi cantly more useful than a grammar or automata that simply recognizes syntactically wellformed strings. This paper reviews our work on using inductive logic programming methods to learn deterministic shift-reduce parsers that translate natural language into a semantic representation. We focus on the task of mapping database queries directly into executable logical form. An overview of the system is presented followed by recent experimental results on corpora of Spanish geography queries and English jobsearch queries.
