Answering questions about charts and generating visual explanations
People often use charts to analyze data, answer questions and explain their answers to
others. In a formative study, we find that such human-generated questions and explanations …
others. In a formative study, we find that such human-generated questions and explanations …
Chartqa: A benchmark for question answering about charts with visual and logical reasoning
Charts are very popular for analyzing data. When exploring charts, people often ask a
variety of complex reasoning questions that involve several logical and arithmetic …
variety of complex reasoning questions that involve several logical and arithmetic …
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 …
Chart question answering: State of the art and future directions
Abstract Information visualizations such as bar charts and line charts are very common for
analyzing data and discovering critical insights. Often people analyze charts to answer …
analyzing data and discovering critical insights. Often people analyze charts to answer …
Dvqa: Understanding data visualizations via question answering
Bar charts are an effective way to convey numeric information, but today's algorithms cannot
parse them. Existing methods fail when faced with even minor variations in appearance …
parse them. Existing methods fail when faced with even minor variations in appearance …
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 …
Leaf-qa: Locate, encode & attend for figure question answering
We introduce LEAF-QA, a comprehensive dataset of 250,000 densely annotated
figures/charts, constructed from real-world open data sources, along with 2 million question …
figures/charts, constructed from real-world open data sources, along with 2 million question …
STL-CQA: Structure-based transformers with localization and encoding for chart question answering
Abstract Chart Question Answering (CQA) is the task of answering natural language
questions about visualisations in the chart image. Recent solutions, inspired by VQA …
questions about visualisations in the chart image. Recent solutions, inspired by VQA …
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 …