Towards a Decent Recognition Rate for the Automatic Classification of a Multidimensional Dialogue Act Tagset

Abstract

In this paper, we present some thoughts and examinations on statistical dialogue act annotation using multidimensional dialogue act labels, based on the ICSI meeting corpus and the associated MRDA tag set. We show some statistics of this corpus, and preliminary results of a statistical tagger for the dialogue act labels, together with a proposal for a more realistic interpretation of these results.