2018 AnEndtoEndNeuralNaturalLanguage

• (Utama et al., 2018) ⇒ Prasetya Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Cetintemel, Benjamin Hattasch, Amir Ilkhechi, Shekar Ramaswamy, and Arif Usta. (2018). “An End-to-end Neural Natural Language Interface for Databases.” In: CoRR Journal, abs/1804.00401. arXiv:1804.00401

Subject Headings: Natural Language Database Interface; DBPal.

Cited By

• http://scholar.google.com/scholar?q=%222018%22+An+End-to-end+Neural+Natural+Language+Interface+for+Databases
• https://www.semanticscholar.org/paper/An-End-to-end-Neural-Natural-Language-Interface-for-Utama-Weir/1a498261174c45473bfcfcb81e61470b79492f62

Quotes

Abstract

The ability to extract insights from new data sets is critical for decision making. Visual interactive tools play an important role in data exploration since they provide non-technical users with an effective way to visually compose queries and comprehend the results. Natural language has recently gained traction as an alternative query interface to databases with the potential to enable non-expert users to formulate complex questions and information needs efficiently and effectively. However, understanding natural language questions and translating them accurately to SQL is a challenging task, and thus Natural Language Interfaces for Databases (NLIDBs) have not yet made their way into practical tools and commercial products. In this paper, 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 a deep model to translate natural language statements to SQL, making the translation process more robust to paraphrasing and other 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 partial query extensions to users 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 AnEndtoEndNeuralNaturalLanguage	Prasetya Utama Nathaniel Weir Fuat Basik Carsten Binnig Ugur Cetintemel Amir Ilkhechi Shekar Ramaswamy Arif Usta Benjamin Hattasch			An End-to-end Neural Natural Language Interface for Databases