PRECISE on ATIS: Semantic Tractability and Experimental Results
Abstract
The need for Natural Language Interfaces to databases (NLIs) has become increasingly acute as more and more people ac-cess information through their web browsers, PDAs, and cell phones. Yet NLIs are only usable if they map natural lan-guage questions to SQL queries correctly — people are un-willing 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.
Cite
Text
Popescu et al. "PRECISE on ATIS: Semantic Tractability and Experimental Results." AAAI Conference on Artificial Intelligence, 2004.Markdown
[Popescu et al. "PRECISE on ATIS: Semantic Tractability and Experimental Results." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/popescu2004aaai-precise/)BibTeX
@inproceedings{popescu2004aaai-precise,
title = {{PRECISE on ATIS: Semantic Tractability and Experimental Results}},
author = {Popescu, Ana-Maria and Armanasu, Alex and Etzioni, Oren and Ko, David and Yates, Alexander},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2004},
pages = {1026-1027},
url = {https://mlanthology.org/aaai/2004/popescu2004aaai-precise/}
}