Computer Science – Computation and Language
Scientific paper
2000-03-30
Computer Science
Computation and Language
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.
No associations
LandOfFree
Advances in domain independent linear text segmentation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Advances in domain independent linear text segmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Advances in domain independent linear text segmentation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-201641