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The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei, “Language models are few-shot learners,” in Proceedings of Advances in Neural Information Processing Systems , vol. 33, 2020, pp. 1877–1901
1901
Earlier work this paper cites.
J. Mackinlay, “Automating the design of graphical presentations of relational information,” Acm Transactions On Graphics , vol. 5, no. 2, pp. 110–141, 1986
1986
Earlier work this paper cites.
J. Mackinlay, “Automating the design of graphical presentations of relational information,” ACM Transactions on Graphics , vol. 5, no. 2, pp. 110–141, 1986
1986
Earlier work this paper cites.
M. Card, Readings in information visualization: using vision to think . Morgan Kaufmann, 1999
1999
Earlier work this paper cites.
R. L. Harris, Information Graphics: A Comprehensive Illustrated Reference . Oxford University Press, USA, 1999
1999
Earlier work this paper cites.
E. H.-h. Chi, “A taxonomy of visualization techniques using the data state reference model,” in Proceedings of IEEE Symposium on Information Visualization , 2000, pp. 69–75
2000
Earlier work this paper cites.
K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, “Bleu: a method for automatic evaluation of machine translation,” in Proceedings of the Annual Meeting of the Association for Computational Linguistics , 2002, pp. 311–318
2002
Earlier work this paper cites.
Tableau Software, “Tableau,” https://www.tableau.com/ , 2003
2003
Earlier work this paper cites.
D. E. Rose and D. Levinson, “Understanding user goals in web search,” in Proceedings of the International Conference on World Wide Web , 2004, pp. 13–19
2004
Earlier work this paper cites.
C.-Y. Lin, “Rouge: A package for automatic evaluation of summaries,” in Text summarization branches out , 2004, pp. 74–81
2004
Earlier work this paper cites.
J. Mackinlay, P. Hanrahan, and C. Stolte, “Show Me: Automatic presentation for visual analysis,” IEEE Transactions on Visualization and Computer Graphics , vol. 13, no. 6, pp. 1137–1144, 2007
2007
Earlier work this paper cites.
Y. Sun, J. Leigh, A. Johnson, and S. Lee, “Articulate: A semi-automated model for translating natural language queries into meaningful visualizations,” in Proceedings of the International Symposium on Smart Graphics , 2010, pp. 184–195
2010
Earlier work this paper cites.
L. Wilkinson, “The grammar of graphics: The ggplot2 package,” in Handbook of computational statistics . Springer, 2012, pp. 375–414
2012
Earlier work this paper cites.
I. Sutskever, O. Vinyals, and Q. V. Le, “Sequence to sequence learning with neural networks,” Advances in Neural Information Processing Systems , vol. 27, 2014
2014
Earlier work this paper cites.
Wongsuphasawat, Kanit and Moritz, Dominik and Anand, Anushka and Mackinlay, Jock and Howe, Bill and Heer, Jeffrey, “Voyager: Exploratory analysis via faceted browsing of visualization recommendations,” IEEE Transactions on Visualization and Computer Graphics , vol. 22, no. 1, pp. 649–658, 2015
2015
Earlier work this paper cites.
T. Gao, M. Dontcheva, E. Adar, Z. Liu, and K. G. Karahalios, “DataTone: Managing ambiguity in natural language interfaces for data visualization,” in Proceedings of the Annual Symposium on User Interface Software and Technology , 2015, pp. 489–500
2015
Earlier work this paper cites.
M. Vartak, S. Rahman, S. Madden, A. Parameswaran, and N. Polyzotis, “SeeDB: Efficient data-driven visualization recommendations to support visual analytics,” in Proceedings of the VLDB Endowment International Conference on Very Large Data Bases , vol. 8, no. 13, 2015, p. 2182
2015
Earlier work this paper cites.
A. Satyanarayan, D. Moritz, K. Wongsuphasawat, and J. Heer, “Vega-Lite: A grammar of interactive graphics,” IEEE Transactions on Visualization and Computer Graphics , vol. 23, no. 1, pp. 341–350, 2016
2016
Earlier work this paper cites.
K. Wongsuphasawat, D. Moritz, A. Anand, J. Mackinlay, B. Howe, and J. Heer, “Towards a general-purpose query language for visualization recommendation,” in Proceedings of the Workshop on Human-In-the-Loop Data Analytics , 2016, pp. 1–6
2016
Earlier work this paper cites.
V. Setlur, S. E. Battersby, M. Tory, R. Gossweiler, and A. X. Chang, “Eviza: A natural language interface for visual analysis,” in Proceedings of the Annual Symposium on User Interface Software and Technology , 2016, pp. 365–377
2016
Earlier work this paper cites.
K. Wongsuphasawat, Z. Qu, D. Moritz, R. Chang, F. Ouk, A. Anand, J. Mackinlay, B. Howe, and J. Heer, “Voyager 2: Augmenting visual analysis with partial view specifications,” in Proceedings of the CHI Conference on Human Factors in Computing Systems , 2017, pp. 2648–2659
2017
Earlier work this paper cites.
E. Hoque, V. Setlur, M. Tory, and I. Dykeman, “Applying pragmatics principles for interaction with visual analytics,” IEEE Transactions on Visualization and Computer Graphics , vol. 24, no. 1, pp. 309–318, 2017
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
D. Moritz, C. Wang, G. L. Nelson, H. Lin, A. M. Smith, B. Howe, and J. Heer, “Formalizing visualization design knowledge as constraints: Actionable and extensible models in draco,” IEEE Transactions on Visualization and Computer Graphics , vol. 25, no. 1, pp. 438–448, 2018
2018
Earlier work this paper cites.
Y. Luo, X. Qin, N. Tang, and G. Li, “DeepEye: Towards automatic data visualization,” in Proceedings of IEEE International Conference on Data Engineering , 2018, pp. 101–112
2018
Earlier work this paper cites.
L. Battle, P. Duan, Z. Miranda, D. Mukusheva, R. Chang, and M. Stonebraker, “Beagle: Automated extraction and interpretation of visualizations from the web,” in Proceedings of the CHI Conference on Human Factors in Computing Systems , 2018, pp. 1–8
2018
Cited alongside, same era.
V. Setlur, M. Tory, and A. Djalali, “Inferencing underspecified natural language utterances in visual analysis,” in Proceedings of the International Conference on Intelligent User Interfaces , 2019, pp. 40–51
2019
Cited alongside, same era.
2019
Cited alongside, same era.
V. Dibia and Ç. Demiralp, “Data2Vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks,” IEEE Computer Graphics and Applications , vol. 39, no. 5, pp. 33–46, 2019
2019
Cited alongside, same era.
Y. Sun, J. Li, S. Chen, G. Andrienko, N. Andrienko, and K. Zhang, “A learning-based approach for efficient visualization construction,” Visual Informatics , vol. 6, no. 1, pp. 14–25, 2022
2022
Later among the works it cites.
A. Jiang, M. A. Nacenta, and J. Ye, “Visualizations as intermediate representations (vlair): An approach for applying deep learning-based computer vision to non-image-based data,” Visual Informatics , vol. 6, no. 3, pp. 35–50, 2022
2022
Later among the works it cites.
A. Wu, Y. Wang, M. Zhou, X. He, H. Zhang, H. Qu, and D. Zhang, “MultiVision: Designing analytical dashboards with deep learning based recommendation,” IEEE Transactions on Visualization and Computer Graphics , vol. 28, no. 1, pp. 162–172, 2022
2022
Later among the works it cites.
H. Voigt, Ö. Alaçam, M. Meuschke, K. Lawonn, and S. Zarrieß, “The why and the how: A survey on natural language interaction in visualization,” in Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2022, pp. 348–374
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B. Yu and C. T. Silva, “FlowSense: A natural language interface for visual data exploration within a dataflow system,” IEEE Transactions on Visualization and Computer Graphics , vol. 26, no. 1, pp. 1–11, 2019
2019
Cited alongside, same era.
2019
Cited alongside, same era.
A. Narechania, A. Srinivasan, and J. Stasko, “NL4DV: A toolkit for generating analytic specifications for data visualization from natural language queries,” IEEE Transactions on Visualization and Computer Graphics , vol. 27, no. 2, pp. 369–379, 2020
2020
Cited alongside, same era.
X. Qin, Y. Luo, N. Tang, and G. Li, “Making data visualization more efficient and effective: a survey,” The VLDB Journal , vol. 29, pp. 93–117, 2020
2020
Cited alongside, same era.
2020
Cited alongside, same era.
Y. Luo, N. Tang, G. Li, J. Tang, C. Chai, and X. Qin, “Natural language to visualization by neural machine translation,” IEEE Transactions on Visualization and Computer Graphics , vol. 28, no. 1, pp. 217–226, 2021
2021
Cited alongside, same era.
A. Srinivasan, N. Nyapathy, B. Lee, S. M. Drucker, and J. Stasko, “Collecting and characterizing natural language utterances for specifying data visualizations,” in Proceedings of the CHI Conference on Human Factors in Computing Systems , 2021, pp. 1–10
2021
Cited alongside, same era.
Y. Luo, N. Tang, G. Li, C. Chai, W. Li, and X. Qin, “Synthesizing natural language to visualization (nl2vis) benchmarks from nl2sql benchmarks,” in Proceedings of the International Conference on Management of Data , 2021, pp. 1235–1247
2021
Cited alongside, same era.
2022
Later among the works it cites.
2022
Later among the works it cites.
2022
Later among the works it cites.
K. Xiong, Z. Luo, S. Fu, Y. Wang, M. Xu, and Y. Wu, “Revealing the semantics of data wrangling scripts with comantics,” IEEE Transactions on Visualization and Computer Graphics , vol. 29, no. 1, pp. 117–127, 2022
2022
Later among the works it cites.
R. Mitra, A. Narechania, A. Endert, and J. Stasko, “Facilitating conversational interaction in natural language interfaces for visualization,” in IEEE Visualization and Visual Analytics , 2022, pp. 6–10
2022
Later among the works it cites.
J. VanderPlas, B. Granger, J. Heer, D. Moritz, K. Wongsuphasawat, A. Satyanarayan, E. Lees, I. Timofeev, B. Welsh, and S. Sievert, “Altair: Interactive statistical visualizations for python,” Journal of Open Source Software , vol. 3, no. 32, p. 1057, 2018
2022
Later among the works it cites.
Y. Huang, Y. Zhou, R. Chen, C. Pan, X. Shu, D. Weng, and Y. Wu, “Interactive table synthesis with natural language,” IEEE Transactions on Visualization and Computer Graphics , 2023
2023
Closest in time.
2023
Closest in time.
L. Ying, X. Shu, D. Deng, Y. Yang, T. Tang, L. Yu, and Y. Wu, “Metaglyph: Automatic generation of metaphoric glyph-based visualization,” IEEE Transactions on Visualization and Computer Graphics , vol. 29, no. 1, pp. 331–341, 2023
2023
Closest in time.
Y. Zhou, X. Meng, Y. Wu, T. Tang, Y. Wang, and Y. Wu, “An intelligent approach to automatically discovering visual insights,” Journal of Visualization , vol. 26, no. 3, pp. 705–722, 2023
2023
Closest in time.
J. Dong, H. Zhang, M. Cui, Y. Lin, H.-Y. Wu, and C. Bi, “Tcevis: Visual analytics of traffic congestion influencing factors based on explainable machine learning,” Visual Informatics , 2023
2023
Closest in time.
D. Deng, A. Wu, H. Qu, and Y. Wu, “DashBot: Insight-driven dashboard generation based on deep reinforcement learning,” IEEE Transactions on Visualization and Computer Graphics , vol. 29, no. 1, pp. 690–700, 2023
2023
Closest in time.
L. Shen, E. Shen, Y. Luo, X. Yang, X. Hu, X. Zhang, Z. Tai, and J. Wang, “Towards natural language interfaces for data visualization: A survey,” IEEE Transactions on Visualization and Computer Graphics , vol. 29, no. 6, pp. 3121–3144, 2023
2023
Closest in time.
OpenAI, “Gpt-4 technical report,” 2023
2023
Closest in time.
2023
Closest in time.
P. Maddigan and T. Susnjak, “Chat2VIS: Generating data visualisations via natural language using chatgpt, codex and gpt-3 large language models,” IEEE Access , vol. 11, pp. 45 181–45 193, 2023
2023
Closest in time.
V. Dibia, “LIDA: A tool for automatic generation of grammar-agnostic visualizations and infographics using large language models,” in Proceedings of the Annual Meeting of the Association for Computational Linguistics: System Demonstrations , 2023
2023
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L. Cheng, X. Li, and L. Bing, “Is gpt-4 a good data analyst?” arXiv preprint arXiv:2305.15038 , 2023
2023
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2023
Closest in time.
2023
Closest in time.
K. Xiong, S. Fu, G. Ding, Z. Luo, R. Yu, W. Chen, H. Bao, and Y. Wu, “Visualizing the scripts of data wrangling with somnus,” IEEE Transactions on Visualization and Computer Graphics , vol. 29, no. 6, pp. 2950–2964, 2023
2023
Closest in time.
P. Soni, C. de Runz, F. Bouali, and G. Venturini, “A survey on automatic dashboard recommendation systems,” Visual Informatics , 2024
2024
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