Dialogue Structure and Pronoun Resolution
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TL;DR
The results show that incorporating this shallow segmentation at best marginally improves pronoun resolution performance in a task-oriented corpus of dialogues.
Abstract
This paper presents an empirical evaluation of a pronoun resolution algorithm augmented with discourse segmentation information. Past work has shown that segmenting discourse can aid in pronoun resolution by making potentially erroneous candidates inaccessible to a pronoun's search. However, implementing this in practice has been difficult given the complexities associated with deciding on a useful scheme and then generating the segmentation reliably. In our study, we investigate whether or not shallow schemes that are easy to generate will improve pronoun resolution in a task-oriented corpus of dialogues. Our results show that incorporating this shallow segmentation at best marginally improves pronoun resolution performance.
