2018 DBPalALearnedNLInterfaceforData

• (Basik et al., 2018) ⇒ Fuat Basik, Benjamin Hättasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Utama, Nathaniel Weir, Carsten Binnig, and Ugur Cetintemel. (2018). “DBPal: A Learned NL-Interface for Databases.” In: Proceedings of the 2018 International Conference on Management of Data (SIGMOD 2018). ISBN:978-1-4503-4703-7 doi:10.1145/3183713.3193562

Subject Headings: Natural Language Database Interface; DBPal.

Cited By

• http://scholar.google.com/scholar?q=%222018%22+DBPal%3A+A+Learned+NL-Interface+for+Databases
• http://dl.acm.org/citation.cfm?id=3183713.3193562&preflayout=flat#citedby
• https://www.semanticscholar.org/paper/DBPal%3A-A-Learned-NL-Interface-for-Databases-Basik-H%C3%A4ttasch/8a22c1e32a1357b20b2e9a51cd7b81c213ab5181

Quotes

Abstract

In this demo, we present DBPal, a novel data exploration tool with a natural language interface. DBPal leverages recent advances in deep models to make query understanding more robust in the following ways: First, DBPal uses novel machine translation models to translate natural language statements to SQL, making the translation process more robust to paraphrasing and linguistic variations. Second, to support the users in phrasing questions without knowing the database schema and the query features, DBPal provides a learned auto-completion model that suggests to users partial query extensions during query formulation and thus helps to write complex queries.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2018 DBPalALearnedNLInterfaceforData	Prasetya Utama Nathaniel Weir Fuat Basik Carsten Binnig Ugur Cetintemel Amir Ilkhechi Shekar Ramaswamy Arif Usta Benjamin Hättasch			DBPal: A Learned NL-Interface for Databases				10.1145/3183713.3193562		2018