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We develop NL2INTERFACE to explore the potential of generating usable interactive multi-visualization interfaces from natural language queries.
A multi-modal natural language interface to an information visualization environment
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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
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H. Zhang, V. Raj, T. Sellam, and E. Wu · 2018
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Parameterized query
S. server team · 2019
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Mining precision interfaces from query logs
Q. Zhang, H. Zhang, T. Sellam, and E. Wu · 2019
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Language models are few-shot learners, 2020
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Monte carlo tree search for generating interactive data analysis interfaces
Y. Chen and E. Wu · 2020
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Tsexplain: Surfacing evolving explanations for time series
Y. Chen and S. Huang · 2021
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All posts tagged data visualization
FiveThirtyEight · 2021
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Natural sql: Making sql easier to infer from natural language specifications, 2021. doi: 10.48550/ARXIV.2109.05153
Y. Gan, X. Chen, J. Xie, M. Purver, J. R. Woodward, J. Drake, and Q. Zhang · 2021
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Facets - know your data
Google · 2021
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Picard: Parsing incrementally for constrained auto-regressive decoding from language models
T. Scholak, N. Schucher, and D. Bahdanau · 2021
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Pi2: End-to-end interactive visualization interface generation from queries
Y. Chen and E. Wu · 2022
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Nl4dv: A toolkit for generating analytic specifications for data visualization from natural language queries
A. Narechania, A. Srinivasan, and J. Stasko · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
C. Raffel, N. M. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu · 2020
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P. Shaw, M.-W. Chang, P. Pasupat, and K. Toutanova · 2020
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RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers
B. Wang, R. Shin, X. Liu, O. Polozov, and M. Richardson · 2020
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Y. Zhang, X. Dong, S. Chang, T. Yu, P. Shi, and R. Zhang · 2020
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Evaluating large language models trained on code
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, et al · 2021
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Rethinking the role of demonstrations: What makes in-context learning work?
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Rasat: Integrating relational structures into pretrained seq2seq model for text-to-sql
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Evaluating the text-to-sql capabilities of large language models
N. Rajkumar, R. Li, and D. Bahdanau · 2022
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Few-shot semantic parsing with language models trained on code
R. Shin and B. V. Durme · 2022
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Demonstration of pi2: Interactive visualization interface generation for sql analysis in notebook
J. Tao, Y. Chen, and E. Wu · 2022
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