This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
Wrappers play an important role in extracting specified information from various sources. Wrapper rules by which information is extracted are often created from the domain-specifi...
Avatars that show intelligent behavior should have an access to general knowledge about the world, knowledge that humans store in their semantic memories. The simplest knowledge r...
Julian Szymanski, Tomasz Sarnatowicz, Wlodzislaw D...
We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implement...
Pia-Ramona Wojtinnek, Brian Harrington, Sebastian ...
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...