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In this work, we describe the design, development, and deployment of NEREA (Named Entity Recognizer for spEcific Areas), an automatic Named Entity Recognizer and Disambiguation system, developed in collaboration with professional documentalists. The aim of NEREA is to keep accurate and current information about the entities mentioned in a local repository, and then support building appropriate infoboxes,...
Nowadays the vast amount of text-based information stored in organizations requires different approaches and new tools in order to manage it adequately. This paper presents Hypatia, a support expert system for documentation departments and regular users that exploits not only local information, but also external resources from the Web (e.g., Linked Data). The expert system uses different modules:...
Nowadays, information and knowledge are fundamental in our society. This has induced an information overload problem in the Internet. For this reason, we propose to create an automatic system to retrieve, select, and extract information from the Web whose methodology is based on fusion techniques. The system, called Diana, facilitates and improves the identification of interesting contents, and it...
Today in media companies there is a serious problem for cataloging news due to the large number of articles received by the documentation departments. That manual labor is subject to many errors and omissions because of the different points of view and expertise level of each staff member. There is also an additional difficulty due to the large size of the list of words in a thesaurus. In this paper,...
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