The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Abstract. Ontology mapping is one of the most important tasks for ontology interoperability and its main aim is to find semantic relationships between entities (i.e. concept, attri...
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
Daniel M. Bikel, Scott Miller, Richard M. Schwartz...
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identif...
al modelling studies the different abstraction methods of the real world. The conception and the execution of virtual worlds depend strongly of the type of conceptual models. Exis...