Classifying German questions according to ontology-based answer types

Abstract

In this paper we describe the evaluation of three machine learning algorithms that assign ontology based answer types to questions in a question-answering task. We used shallow and syntactical features to classify about 1400 German questions with a Decision Tree, a k-nearest Neighbor, and a Naïve Bayes algorithm.