2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/151184We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing segmentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine learning).8 pages. Self-contained latex source. To appear in Proceedings of the 33rd ACL, 1995. (This replacement version revised so that no lines exceed 80 characters.)Computation and LanguageCombining Multiple Knowledge Sources for Discourse Segmentationtext