A Greek named-entity recognizer that uses Support Vector Machines and active learning

Abstract

We present a named-entity recognizer for Greek person names and temporal expressions. For temporal expressions, it relies on semiautomatically produced patterns. For person names, it employs two Support Vector Machines, that scan the input text in two passes, and active learning, which reduces the human annotation effort during training. © Springer-Verlag Berlin Heidelberg 2006.