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Automatic chart to text summarization is an effective tool for the visually impaired people along with providing precise insights of tabular data in natural language to the user.
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. 2019 · 1910
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Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003 · 2003
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An architecture for data-to-text systems
Ehud Reiter. 2007 · 2007
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User task adaptation in multimedia presentations
Giuseppe Carenini, Cristina Conati, Enamul Hoque, and Ben Steichen. 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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Challenges in data-to-document generation
Sam Wiseman, Stuart M Shieber, and Alexander M Rush. 2017 · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Enhanced transformer model for data-to-text generation
Li Gong, Josep M Crego, and Jean Senellart. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Efficient inference for neural machine translation
Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, and Ilya Chatsviorkin. 2020 · 2020
Cited alongside, same era.
Query focused abstractive summarization via incorporating query relevance and transfer learning with transformer models
Md Tahmid Rahman Laskar, Enamul Hoque, and Jimmy Huang. 2020a · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model
Jason Obeid and Enamul Hoque. 2020 · 2020
Cited alongside, same era.
BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
Cited alongside, same era.
Chartocr: Data extraction from charts images via a deep hybrid framework
Junyu Luo, Zekun Li, Jinpeng Wang, and Chin-Yew Lin. 2021 · 2021
Later among the works it cites.
Tensor fields for data extraction from chart images: bar charts and scatter plots
Jaya Sreevalsan-Nair, Komal Dadhich, and Siri Chandana Daggubati. 2021 · 2021
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Data-to-text generation by splicing together nearest neighbors
Sam Wiseman, Arturs Backurs, and Karl Stratos. 2021 · 2021
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mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
Later among the works it cites.
Reverse-engineering bar charts using neural networks
Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, and Ying Zhao. 2021 · 2021
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AutoChart: A dataset for chart-to-text generation task
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Cited alongside, same era.
Crowdchart: Crowdsourced data extraction from visualization charts
Chengliang Chai, Guoliang Li, Ju Fan, and Yuyu Luo. 2021 · 2021
Cited alongside, same era.
Barchartanalyzer: Digitizing images of bar charts
Komal Dadhich, Siri Chandana Daggubati, and Jaya Sreevalsan-Nair. 2021 · 2021
Cited alongside, same era.
Template-based nlg for tabular data using bert
Srushti Gajbhiye and Maria Lopes. 2021 · 2021
Cited alongside, same era.
XL-sum: Large-scale multilingual abstractive summarization for 44 languages
Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, and Rifat Shahriyar. 2021 · 2021
Cited alongside, same era.
SciCap: Generating captions for scientific figures
Ting-Yao Hsu, C Lee Giles, and Ting-Hao Huang. 2021 · 2021
Cited alongside, same era.
Opencqa: Open-ended question answering with charts
Shankar Kantharaj, Xuan Long Do, Rixie Tiffany Ko Leong, Jia Qing Tan, Enamul Hoque, and Shafiq Joty. 2022a
Cited in the paper.
Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Zhi Li, and Kenny Choo. 2021b · 2021
Later among the works it cites.
No language left behind: Scaling human-centered machine translation
Marta R Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, et al. 2022 · 2022
Later among the works it cites.
Chart question answering: State of the art and future directions
Enamul Hoque, Parsa Kavehzadeh, and Ahmed Masry. 2022 · 2022
Later among the works it cites.
Chart-to-text: A large-scale benchmark for chart summarization
Shankar Kanthara, Rixie Tiffany Ko Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, and Shafiq Joty. 2022 · 2022
Later among the works it cites.
BLINK with Elasticsearch for efficient entity linking in business conversations
Md Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan Tn, and Simon Corston-Oliver. 2022c · 2022
Later among the works it cites.
Chartqa: A benchmark for question answering about charts with visual and logical reasoning
Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq Joty, and Enamul Hoque. 2022 · 2022
Later among the works it cites.