Text classification systems on biomedical literature aim to select relevant articles to a specific issue from large corpora. Most systems with an acceptable accuracy are based o...
An increasing number of enterprises are beginning to include semantic web ontologies into their Information Extraction (IE) and Text Analytics (TA) applications. This can be chall...
Brian Davis, Siegfried Handschuh, Alexander Trouss...
Objectives: We present the summarization system in the PERSIVAL medical digital library. Although we discuss the context of our summarization research within the PERSIVAL platform...
Noemie Elhadad, Min-Yen Kan, Judith L. Klavans, Ka...
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...