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Discover LudwigExact(1)
We chose to use this dataset because we are particularly interested in extracting figures related to PPI assertions, and also the accompanying textual description of the methods, which is usually found within subcaptions or text embedded in panels.
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Specifically, our approach starts by automatically extracting figure-caption pairs from full-text articles in PDF files.
Manually extracting figure-caption pairs for the creation of our ground truth data for 2, 035 articles is tedious and time consuming.
While one can dig around in reports to extract figures or charts, or skim tables to spot patterns, it is nevertheless hard for the non-expert to get a sense of the overall shape of Europe's energy.
We solved the field equation with a tensor Green's function technique, and extracted figures of merit describing the influence of the vacuum pipe on the radiation pulse as a function of the problem parameters.
We found that splicing of these substrates could be complemented by PUF60 in the depleted extract (Figures 3C and 3D and S4).
Taking into consideration the document layout allows us to correctly extract figures from the PDF document and associate their corresponding caption.
Given the extracted figures and captions, we first assign them a label corresponding to their structural position (e.g., left column, right column, and double column).
UV-Vis spectrum of solutions without Rh extract (Figure S7).
Molecular structure of the catechin compounds found in the Rh extract (Figure S5).
Molecular structure of stilbene glycoside found in the Rh extract (Figure S6).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com