Researchers at the University of Texas have developed a new app that can extract important information from research papers to provide clear definitions of the scientific terminology that allow non-expert readers to understand the material without any assistance from specialized parties, the German News Agency reported.
The Phys.org website cited researcher Weijia Xu, who lead the team at University of Texas, as saying: "Our project is motivated by the need of improving the readability of journal articles."
Worth noting that this app is a joint effort between biological curators, journal publishers and computer scientists aimed at developing a web service that can detect the scientific materials and use them in a media-friendly formula.
Xu and his colleagues developed an extensible framework that can be used to extract information from documents.
They then implemented this framework within a web service called DIVE, aimed at transforming the scientific papers into materials that can be published on media and news websites.
According to Xu, the results attained are stored in a centralized database.
"The author needs to visit the DIVE site to review the extraction results and make final approval of the list of information to be included at end of their article," he explained.
Xu said the framework developed by the researchers uses several techniques, which allows it to capture more information than other methods.
"A major contribution of our project is that it helps to build datasets and models that can infer author's' research interests from their publications," he concluded.
