Cue phrases may be used in a discourse sense to explicitly signal discourse
structure, but also in a sentential sense to convey semantic rather than
structural information. This paper explores the use of machine learning for
classifying cue phrases as discourse or sentential. Two machine learning
programs (Cgrendel and C4.5) are used to induce classification rules from sets
of pre-classified cue phrases and their features. Machine learning is shown to
be an effective technique for not only automating the generation of
classification rules, but also for improving upon previous results.Comment: 8 pages, PostScript File, to appear in the Proceedings of AAAI-9