Invite to NewsReader: “Building structured occasion Indexes of big volumes of financial and financial Data for Decision Making”
We built reading machines in 4 languages. Have a look at this video to meet the Reading Machine!
The volume of news data is massive and broadening, covering billions of archived files with countless files included daily. These files are also getting increasingly more adjoined with knowledge from other sources such as bios and business databases. NewsReader developed a system that extracts what occurred to whom, when and where from these sources and stores them in a structured database, making it possible for more precise search over this tremendous stack of information. Presently, our system supports English, Spanish, Italian and Dutch. Pilot jobs are underway with federal government and financial information experts, but the system can be helpful to anybody aiming to understand big amounts of news text. A general summary of the job can be found here: NWR-PUBLIC-SUMMARY
Main journal publications:P. Vossen, R. Agerri, I. Aldabe, A. Cybulska, M. van Erp, A. Fokkens, E. Laparra, A. Minard, A. P. Aprosio, G. Rigau, M. Rospocher, and R. Segers, “NewsReader: Utilizing understanding resources in a cross-lingual reading device to create more knowledge from massive streams of news”, Unique concern knowledge-based systems, elsevier, 2016. [PDF] dx.doi.org/10.1016/j.knosys.2016.07.013, [BibTeX]
The task is described in this pamphlet (PDF).
Contact us to read more!