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<Paper uid="P06-2073">
  <Title>dialogue models[?]</Title>
  <Section position="7" start_page="568" end_page="568" type="concl">
    <SectionTitle>
5 Conclusions and future work
</SectionTitle>
    <Paragraph position="0"> In this work, we proposed a method for simultaneous segmentation and annotation of dialogue utterances. In contrast to previous models for this task, our model does not assume manual utterance segmentation. Instead of treating utterance segmentation as a separate task, the proposed method selects utterance boundaries to optimize the accuracy of the generated labels. We performed experiments to determine the effect of the availability of the correct segmentation of dialogue turns in utterances in the statistical DA labelling framework. Our results reveal that, as shown in previous work (Warnke et al., 1999), having the correct segmentation is very important in obtaining accurate results in the labelling task. This conclusion is supported by the results obtained in very differentdialoguecorpora: differentamountsoftraining and test data, different natures (general and taskoriented), different sets of labels, etc.</Paragraph>
    <Paragraph position="1"> Future work on this task will be carried out in several directions. As segmentation appears to be an important step in these tasks, it would be interesting to obtain an automatic and accurate segmentation model that can be easily integrated in our statistical model. The application of our statistical models to other tasks (like VerbMobil (Alexandersson et al., 1998)) would allow us to confirm our conclusions and compare results with other works.</Paragraph>
    <Paragraph position="2"> Theerroranalysisweperformedshowstheneed for incorporating new and more reliable information resources to the presented model. Therefore, the use of alternative models in both corpora, such as the N-gram-based model presented in (Webb et al., 2005) or an evolution of the presented statistical model with other information sources would be useful. The combination of these two models might be a good way to improve results.</Paragraph>
    <Paragraph position="3"> Finally, it must be pointed out that the main task of the dialogue models is to allow the most correct reaction of a dialogue system given the user input. Therefore, the correct evaluation technique must be based on the system behaviour as well as on the accurate assignation of DA to the user input. Therefore, future evaluation results should take this fact into account.</Paragraph>
  </Section>
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