Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashion than a search engine and with more coverage than WordNet. We present experime...
A research has been carried on and is still in progress aimed at the construction of three specialized lexicons organized as databases of relational type. The three databases cont...
Rita Marinelli, Adriana Roventini, Giovanni Spadon...
We show that we can automatically classify semantically related phrases into 10 classes. Classification robustness is improved by training with multiple sources of evidence, inclu...
Ben Carterette, Rosie Jones, Wiley Greiner, Cory B...
: The paper presents YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags. We introduce alg...
Ralf Schenkel, Fabian M. Suchanek, Gjergji Kasneci
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...