A Machine Learning Approach to Relational Noun Mining in German
Berthold Crysmann · 2011
In this paper I argue in favour of a collocation extraction approach to the acquisition of relational nouns in German. We annotated frequency-based best lists of nounpreposition bigrams and subsequently trained different classifiers using (combinations of) association metrics, achieving a maximum F-measure of 69.7 on a support vector machine (Platt, 1998). Trading precision for recall, we could achieve over 90 % recall for relational noun extraction, while still halving the annotation effort.