PRECISE on ATIS: Semantic Tractability and Experimental Results
نویسندگان
چکیده
The need for Natural Language Interfaces to databases (NLIs) has become increasingly acute as more and more people access information through their web browsers, PDAs, and cell phones. Yet NLIs are only usable if they map natural language questions to SQL queries correctly — people are unwilling to trade reliable and predictable user interfaces for intelligent but unreliable ones. We describe a reliable NLI, PRECISE, that incorporates a modern statistical paser and a semantic module. PRECISE provably handles a large class of natural language questions correctly. On the benchmark ATIS data set, PRECISE achieves 93.8% accuracy.
منابع مشابه
Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability
Can we leverage the advances in statistical parsing over the last fifteen years to build more powerful “transportable” Natural Language Interfaces to Databases (NLIs)? To address this question, this paper reports on the PRECISE NLI, which uses a statistical parser as a “plug in”. The paper shows how a strong semantic model enables PRECISE to correct parser errors, and map from parsed questions ...
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