Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interf...
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
About this item
Full title
Author / Creator
Xu, Peng , Zi, Wenjie , Shahidi, Hamidreza , Kádár, Ákos , Tang, Keyi , Yang, Wei , Ateeq, Jawad , Barot, Harsh , Meidan Alon and Cao, Yanshuai
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
A natural language database interface (NLDB) can democratize data-driven insights for non-technical users. However, existing Text-to-SQL semantic parsers cannot achieve high enough accuracy in the cross-database setting to allow good usability in practice. This work presents Turing, a NLDB system toward bridging this gap. The cross-domain semantic...
Alternative Titles
Full title
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2539398386
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2539398386
Other Identifiers
E-ISSN
2331-8422
