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Charts are very popular for analyzing data.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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Data extraction from charts via single deep neural network
Xiaoyi Liu, Diego Klabjan, and Patrick N. Bless. 2019 · 1906
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Answering questions about data visualizations using efficient bimodal fusion
Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, and Christopher Kanan. 2019 · 1908
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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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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Revision: automated classification, analysis and redesign of chart images
M. Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, and J. Heer. 2011 · 2011
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. 2014 · 2014
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Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun. 2015 · 2015
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Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton. 2016 · 2016
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Squad: 100, 000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Figureseer: Parsing result-figures in research papers
Noah Siegel, Zachary Horvitz, Roie Levin, Santosh Kumar Divvala, and Ali Farhadi. 2016 · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. 2017 · 2017
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ChartSense: Interactive Data Extraction from Chart Images , page 6706–6717. Association for Computing Machinery, New York, NY, USA
Daekyoung Jung, Wonjae Kim, Hyunjoo Song, Jeong-in Hwang, Bongshin Lee, Bohyoung Kim, and Jinwook Seo. 2017 · 2017
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Data augmentation for visual question answering
Kushal Kafle, Mohammed Yousefhussien, and Christopher Kanan. 2017 · 2017
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Figureqa: An annotated figure dataset for visual reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, and Yoshua Bengio. 2017 · 2017
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Graph-structured representations for visual question answering
Damien Teney, Lingqiao Liu, and Anton van den Hengel. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Adversarial tableqa: Attention supervision for question answering on tables
Minseok Cho, Reinald Kim Amplayo, Seung won Hwang, and Jonghyuck Park. 2018 · 2018
Understanding tables with intermediate pre-training
Julian Eisenschlos, Syrine Krichene, and Thomas Müller. 2020 · 2020
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Injecting numerical reasoning skills into language models
Mor Geva, Ankit Gupta, and Jonathan Berant. 2020 · 2020
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TaPas: Weakly supervised table parsing via pre-training
Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, and Julian Eisenschlos. 2020 · 2020
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Answering questions about charts and generating visual explanations
Dae Hyun Kim, Enamul Hoque, and Maneesh Agrawala. 2020 · 2020
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Plotqa: Reasoning over scientific plots
Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, and Pratyush Kumar. 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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DVQA: understanding data visualizations via question answering
Kushal Kafle, Scott Cohen, Brian L. Price, and Christopher Kanan. 2018 · 2018
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What is wrong with scene text recognition model comparisons? dataset and model analysis
Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, and Hwalsuk Lee. 2019 · 2019
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Visualizing for the non-visual: Enabling the visually impaired to use visualization
J. Choi, Sanghun Jung, Deok Gun Park, J. Choo, and N. Elmqvist. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Bin Deng. 2019 · 2019
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Analysing mathematical reasoning abilities of neural models
David Saxton, Edward Grefenstette, Felix Hill, and Pushmeet Kohli. 2019 · 2019
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick. 2019 · 2019
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STL-CQA: Structure-based transformers with localization and encoding for chart question answering
Hrituraj Singh and Sumit Shekhar. 2020 · 2020
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Unifying vision-and-language tasks via text generation
Jaemin Cho, Jie Lei, Hao Tan, and Mohit Bansal. 2021 · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 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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PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, and Sebastian Riedel. 2021 · 2021
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Integrating image data extraction and table parsing methods for chart question answering
Ahmed Masry and Enamul Hoque. 2021 · 2021
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Fetaqa: Free-form table question answering
Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, and Dragomir Radev. 2021 · 2021
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