ACL-FIG: A DATASET FOR SCIENTIFIC FIGURE CLASSIFICATION
This paper introduces a new dataset called ACL-FIG, which helps in classifying scientific figures found in research papers. It addresses the lack of resources for understanding these figures and proposes a method to extract and categorize them.
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- 1 Scientific figures are important for presenting research data.
- 2 There is a need for better tools to classify and retrieve scientific figures.
- 3 The ACL-FIG dataset is the first large-scale collection of annotated scientific figures.
Introduction
Scientific figures are crucial in illustrating results in research papers. They help in presenting data compactly, aiding researchers in drawing insights. The paper discusses the challenges in classifying scientific figures based on visual features and proposes a pipeline for building categorized datasets.
Scientific Figure Classification
This section discusses the importance of classifying scientific figures for machine understanding, reviewing early methods and advancements in classification techniques using machine learning.
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Frequently Asked Questions
This paper introduces a new dataset called ACL-FIG, which helps in classifying scientific figures found in research papers. It addresses the lack of resources for understanding these figures and proposes a method to extract and categorize them.
Scientific figures are crucial in illustrating results in research papers. They help in presenting data compactly, aiding researchers in drawing insights. The paper discusses the challenges in classifying scientific figures based on.
Scientific figures are important for presenting research data. There is a need for better tools to classify and retrieve scientific figures. The ACL-FIG dataset is the first large-scale collection of annotated scientific figures.
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