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<?xml version="1.0" standalone="yes"?> <Paper uid="W97-0320"> <Title>An Empirical Approach to Temporal Reference Resolution</Title> <Section position="10" start_page="183" end_page="183" type="concl"> <SectionTitle> 7 Conclusions </SectionTitle> <Paragraph position="0"> This paper presented an intercoder reliability study showing strong reliability in coding the temporal information targeted in this work. A model of temporal reference resolution in scheduling dialogs was presented which supports linear recency and has very good coverage; and, an algorithm based on the model was described. The analysis of the detailed results showed that the implemented system performs quite well (for instance, 81% accuracy vs. a lower bound of 43% on the unseen CMU test data).</Paragraph> <Paragraph position="1"> We also assessed the challenges presented by the data to a method that does not recognize discourse structure, based on an extensively annotated corpus and our experience developing a fully automatic system. In an overwhelming number of cases, the last mentioned time is an appropriate antecedent with respect to our model, in both the more and the less constrained data. In the less constrMned data, some error occurs due to subdialogs, so an extension to the approach is needed to handle them. But in none of these cases would subsequent errors result if, upon exiting the subdialog, the offending information were popped off a discourse stack or otherwise made inaccessible. Changes in tense, aspect, and modality are promising clues for recognizing subdialogs in this data, which we plan to explore in future work.</Paragraph> </Section> class="xml-element"></Paper>