Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2004 | AAAI | benchmark atis data,reliable nli,large class,natural language interfaces,predictable user interface,precise provably,natural language question,people access information,modern statistical paser,semantic tractability,cell phone,user interface,natural language interface,natural language |
Field | DocType | ISBN |
USable,SQL,Paser,Programming language,Web browser,Computer science,Natural language user interface,Natural language,User interface | Conference | 0-262-51183-5 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana-Maria Popescu | 1 | 2826 | 155.13 |
| Alex Armanasu | 2 | 52 | 4.01 |
| Oren Etzioni | 3 | 10103 | 1175.08 |
| David Ko | 4 | 327 | 15.21 |
| Alexander Yates | 5 | 898 | 51.53 |