Chart-to-text: A large-scale benchmark for chart summarization
Charts are commonly used for exploring data and communicating insights. Generating
natural language summaries from charts can be very helpful for people in inferring key …
natural language summaries from charts can be very helpful for people in inferring key …
Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model
J Obeid, E Hoque - arXiv preprint arXiv:2010.09142, 2020 - arxiv.org
Information visualizations such as bar charts and line charts are very popular for exploring
data and communicating insights. Interpreting and making sense of such visualizations can …
data and communicating insights. Interpreting and making sense of such visualizations can …
Vistext: A benchmark for semantically rich chart captioning
Captions that describe or explain charts help improve recall and comprehension of the
depicted data and provide a more accessible medium for people with visual disabilities …
depicted data and provide a more accessible medium for people with visual disabilities …
Unichart: A universal vision-language pretrained model for chart comprehension and reasoning
Charts are very popular for analyzing data, visualizing key insights and answering complex
reasoning questions about data. To facilitate chart-based data analysis using natural …
reasoning questions about data. To facilitate chart-based data analysis using natural …
AutoCaption: An approach to generate natural language description from visualization automatically
In this paper, we propose a novel approach to generate captions for visualization charts
automatically. In the proposed method, visual marks and visual channels, together with the …
automatically. In the proposed method, visual marks and visual channels, together with the …
Chartreader: A unified framework for chart derendering and comprehension without heuristic rules
Charts are a powerful tool for visually conveying complex data, but their comprehension
poses a challenge due to the diverse chart types and intricate components. Existing chart …
poses a challenge due to the diverse chart types and intricate components. Existing chart …
Towards understanding how readers integrate charts and captions: A case study with line charts
Charts often contain visually prominent features that draw attention to aspects of the data
and include text captions that emphasize aspects of the data. Through a crowdsourced …
and include text captions that emphasize aspects of the data. Through a crowdsourced …
Question answering as an automatic evaluation metric for news article summarization
Recent work in the field of automatic summarization and headline generation focuses on
maximizing ROUGE scores for various news datasets. We present an alternative, extrinsic …
maximizing ROUGE scores for various news datasets. We present an alternative, extrinsic …
Opencqa: Open-ended question answering with charts
S Kantharaj, XL Do, RTK Leong, JQ Tan… - arXiv preprint arXiv …, 2022 - arxiv.org
Charts are very popular to analyze data and convey important insights. People often analyze
visualizations to answer open-ended questions that require explanatory answers …
visualizations to answer open-ended questions that require explanatory answers …
CLIFF: Contrastive learning for improving faithfulness and factuality in abstractive summarization
We study generating abstractive summaries that are faithful and factually consistent with the
given articles. A novel contrastive learning formulation is presented, which leverages both …
given articles. A novel contrastive learning formulation is presented, which leverages both …