Advances in domain independent linear text segmentation

Computer Science – Computation and Language

Scientific paper

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8 pages, 8 figures. To appear in Proceedings of NAACL00, Seattle. Software and experiment packages available from author's hom

Scientific paper

This paper describes a method for linear text segmentation which is twice as
accurate and over seven times as fast as the state-of-the-art (Reynar, 1998).
Inter-sentence similarity is replaced by rank in the local context. Boundary
locations are discovered by divisive clustering.

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