We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back 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:

 

Link: http://hdl.handle.net/10230/34367

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