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Charts are commonly used for exploring data and communicating insights.
Figure captioning with reasoning and sequence-level training
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, and Razvan C. Bunescu. 2019 · 1906
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Chartocr: Data extraction from charts images via a deep hybrid framework
Junyu Luo, Zekun Li, Jinpeng Wang, and Chin-Yew Lin. 2021 · 1924
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Postgraphe: a system for the generation of statistical graphics and text
Massimo Fasciano and Guy Lapalme. 1996 · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Describing complex charts in natural language: A caption generation system
Vibhu O. Mittal, Johanna D. Moore, Giuseppe Carenini, and Steven Roth. 1998 · 1998
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Autobrief: an experimental system for the automatic generation of briefings in integrated text and information graphics
Nancy L Green, Giuseppe Carenini, Stephan Kerpedjiev, Joe Mattis, Johanna D Moore, and Steven F Roth. 2004 · 2004
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Bleurt: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur P Parikh. 2020 · 2004
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Collective content selection for concept-to-text generation
Regina Barzilay and Mirella Lapata. 2005 · 2005
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Choosing words in computer-generated weather forecasts
Ehud Reiter, Somayajulu Sripada, Jim Hunter, Jin Yu, and Ian Davy. 2005 · 2005
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Information graphics: an untapped resource for digital libraries
Sandra Carberry, Stephanie Elzer, and Seniz Demir. 2006 · 2006
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An architecture for data-to-text systems
Ehud Reiter. 2007 · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
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Summarizing information graphics textually
Seniz Demir, Sandra Carberry, and Kathleen F. McCoy. 2012 · 2012
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Evaluating a tool for improving accessibility to charts and graphs
Leo Ferres, Gitte Lindgaard, Livia Sumegi, and Bruce Tsuji. 2013 · 2013
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Towards retrieving relevant information graphics
Zhuo Li, Matthew Stagitis, Sandra Carberry, and Kathleen F McCoy. 2013 · 2013
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Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, and C. Lawrence Zitnick. 2015 · 2015
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Cited alongside, same era.
Neural text generation from structured data with application to the biography domain
Rémi Lebret, David Grangier, and Michael Auli. 2016 · 2016
Cited alongside, same era.
What to talk about and how? selective generation using lstms with coarse-to-fine alignment
Hongyuan Mei, TTI UChicago, Mohit Bansal, and Matthew R Walter. 2016 · 2016
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Lxmert: Learning cross-modality encoder representations from transformers
Hao Tan and Mohit Bansal. 2019 · 2019
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model
Jason Obeid and Enamul Hoque. 2020 · 2020
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Totto: A controlled table-to-text generation dataset
Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, and Dipanjan Das. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Students’ understanding of bar graphs and histograms: Results from the locus assessments
Douglas Whitaker and Tim Jacobbe. 2017 · 2017
Cited alongside, same era.
Challenges in data-to-document generation
Sam Wiseman, Stuart M Shieber, and Alexander M Rush. 2017 · 2017
Cited alongside, same era.
Reference-aware language models
Zichao Yang, Phil Blunsom, Chris Dyer, and Wang Ling. 2017 · 2017
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
Understanding of graphs in social science undergraduate students: selection and interpretation of graphs
Mª del Puy Pérez-Echeverría, Yolanda Postigo, and Cristina Marín. 2018 · 2018
Cited alongside, same era.
Augmenting visualizations with interactive data facts to facilitate interpretation and communication
Arjun Srinivasan, Steven M Drucker, Alex Endert, and John Stasko. 2018 · 2018
Cited alongside, same era.
nocaps: novel object captioning at scale
Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, and Peter Anderson. 2019 · 2019
Cited alongside, same era.
Textcaps: a dataset for image captioning with reading comprehension
Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, and Amanpreet Singh. 2020 · 2020
Later among the works it cites.
Neural data-driven captioning of time-series line charts
Andrea Spreafico and Giuseppe Carenini. 2020 · 2020
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Wikidata knowledge base
2021 · 2021
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Scicap: Generating captions for scientific figures
Ting-Yao E. Hsu, C. Lee Giles, and Ting-Hao K. Huang. 2021 · 2021
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Towards understanding how readers integrate charts and captions: A case study with line charts
Dae Hyun Kim, Vidya Setlur, and Maneesh Agrawala. 2021 · 2021
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Plan-then-generate: Controlled data-to-text generation via planning
Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier. 2021 · 2021
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Herve Jegou. 2021 · 2021
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Barlow twins: Self-supervised learning via redundancy reduction
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny. 2021 · 2021
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Vinvl: Making visual representations matter in vision-language models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, and Jianfeng Gao. 2021 · 2021
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Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content
Alan Lundgard and Arvind Satyanarayan. 2022 · 2022
Closest in time.
Logic2Text: High-fidelity natural language generation from logical forms
Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, and William Yang Wang. 2020b · 2096
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