Advances in domain independent linear text segmentation
Freddy Y. Y. Choi · arXiv (Cornell University) · 2000
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.