Intention-based Segmentation: Human Reliability and Correlation with Linguistic Cues

dc.creatorPassonneau, Rebecca J.
dc.creatorLitman, Diane J.
dc.date1994-05-09
dc.date.accessioned2026-07-07T09:09:15Z
dc.date.available2026-07-07T09:09:15Z
dc.descriptionCertain spans of utterances in a discourse, referred to here as segments, are widely assumed to form coherent units. Further, the segmental structure of discourse has been claimed to constrain and be constrained by many phenomena. However, there is weak consensus on the nature of segments and the criteria for recognizing or generating them. We present quantitative results of a two part study using a corpus of spontaneous, narrative monologues. The first part evaluates the statistical reliability of human segmentation of our corpus, where speaker intention is the segmentation criterion. We then use the subjects' segmentations to evaluate the correlation of discourse segmentation with three linguistic cues (referential noun phrases, cue words, and pauses), using information retrieval metrics.
dc.description8 pages, PostScript File, in Proceedings of ACL-93
dc.identifierhttps://arxiv.org/abs/cmp-lg/9405015
dc.identifierhttp://arxiv.org/abs/cmp-lg/9405015
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/150969
dc.subjectComputation and Language
dc.titleIntention-based Segmentation: Human Reliability and Correlation with Linguistic Cues
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