The second Maria de Maeztu Strategic Research Program (CEX2021-001195-M) of the Department of Information and Communication Technologies (DTIC) takes place between 2023 and 2026. The website for this program is under construction. You can find some details in this news.
The first María de Maeztu Strategic Research Program (MDM-2015-0502) took place between January 2016 and June 2020. It was focused on data-driven knowledge extraction, boosting synergistic research initiatives across our different research areas.
Ferrés D, Saggion H, Ronzano F, Bravo À. PDFdigest: an adaptable layout-aware PDF-to-XML textual content extractor for scientific articles. Language Resources and Evaluation Conference (LREC 2018)
Ferrés D, Saggion H, Ronzano F, Bravo À. PDFdigest: an adaptable layout-aware PDF-to-XML textual content extractor for scientific articles. Language Resources and Evaluation Conference (LREC 2018)
The availability of automated approaches and tools to extract structured textual content from PDF articles is essential to enable scientific text mining. This paper describes and evaluates the PDFdigest tool, a PDF-to-XML textual content extraction system specially designed to extract scientific articles’ headings and logical structure (title, authors, abstract,...) and its textual content. The extractor deals with both text-based and image-based PDF articles using custom rule-based algorithms implemented with existing state-of-the-art open-source tools for both PDF-to-HTML conversion and image-based PDF Optical Character Recognition.
Additional material:
- Postprint at UPF e-repository
- Access to PDFdigest tool
Related Assets
Department of Information and Communication Technologies, UPF
Grant CEX2021-001195-M funded by MCIN/AEI /10.13039/501100011033
Department of Information and Communication Technologies, UPF
- Àngel Lozano - Scientific director
- Aurelio Ruiz - Program management