The predictive power of game structure in dialogue act recognition: experimental results using maximum entropy estimation
Massimo Poesio, Andrei Mikheev · 1998
Recognizing the dialogue act(s) performed by means of an utterance involves combining top-down expectations about the next likely `move' in a dialogue with bottom-up information extracted from the speech signal. We compare two ways of generating expectations: one which makes the expectations depend only on the previous act, and one which also takes into account the fact that individual dialogue acts play a role as part of larger conversational structures (`games'). Our results indicate that exploiting game structure does lead to improved expectations. 1. INTRODUCTION Recognizing the dialogue act(s) performed by means of an utterance involves combining top-down expectations about the next likely `move' in a dialogue with bottom-up information extracted from the speech signal. The best current models of dialogue act recognition achieve an accuracy of about 70% on transcribed words and of 65% on recognized words (Stolcke et al., 1998; Reithinger and Klesen, 1997). We are trying to impro...