Chart Question Answering

5 papers with code • 0 benchmarks • 4 datasets

Question Answering task on charts images

Most implemented papers

FigureQA: An Annotated Figure Dataset for Visual Reasoning

vmichals/FigureQA-baseline ICLR 2018

To resolve, such questions often require reference to multiple plot elements and synthesis of information distributed spatially throughout a figure.

DVQA: Understanding Data Visualizations via Question Answering

kushalkafle/DVQA_dataset CVPR 2018

Bar charts are an effective way to convey numeric information, but today's algorithms cannot parse them.

Answering Questions about Data Visualizations using Efficient Bimodal Fusion

kushalkafle/PREFIL 5 Aug 2019

Chart question answering (CQA) is a newly proposed visual question answering (VQA) task where an algorithm must answer questions about data visualizations, e. g. bar charts, pie charts, and line graphs.

Classification-Regression for Chart Comprehension

levymsn/cqa-crct 29 Nov 2021

Our model is particularly well suited for realistic questions with out-of-vocabulary answers that require regression.

ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

vis-nlp/chartqa Findings (ACL) 2022

To address the unique challenges in our benchmark involving visual and logical reasoning over charts, we present two transformer-based models that combine visual features and the data table of the chart in a unified way to answer questions.