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This paper describes DBPal, a new system to translate natural language utterances into SQL statements using a neural machine translation model.
Learning to Construct Knowledge Bases from the World Wide Web
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Paraphrase Concept and Typology. A Linguistically Based and Computationally Oriented Approach
M. Vila, M. A. Martí, and H. Rodríguez · 2011
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Constructing an Interactive Natural Language Interface for Relational Databases
F. Li and H. V. Jagadish · 2014
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NaLIR: An Interactive Natural Language Interface for Querying Relational Databases
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Building a Semantic Parser Overnight
Y. Wang, J. Berant, and P. Liang · 2015
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The Case for Interactive Data Exploration Accelerators (IDEAs)
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Neural Ranking Models with Weak Supervision
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Discrete Time Specifications In Temporal Queries
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Learning a Neural Semantic Parser from User Feedback
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SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
X. Xu, C. Liu, and D. Song · 2017
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How Progressive Visualizations Affect Exploratory Analysis
E. Zgraggen, A. Galakatos, A. Crotty, J. Fekete, and T. Kraska · 2017
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Progressive Data Science: Potential and Challenges
C. Turkay, N. Pezzotti, C. Binnig, H. Strobelt, B. Hammer, D. A. Keim, J. Fekete, T. Palpanas, Y. Wang, and F. Rusu · 2018
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Democratizing Data Science through Interactive Curation of ML Pipelines
Z. Shang, E. Zgraggen, B. Buratti, F. Kossmann, P. Eichmann, Y. Chung, C. Binnig, E. Upfal, and T. Kraska · 2019
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