Paper: Advances In Domain Independent Linear Text Segmentation

ACL ID A00-2004
Title Advances In Domain Independent Linear Text Segmentation
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

This paper describes a method for linear text seg- mentation 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.