Advances in domain independent linear text segmentation
About
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.
Freddy Y. Y. Choi• 2000
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Text Segmentation | Choi's Dataset 3-11 | Pk12 | 17 | |
| Text Segmentation | Choi's Dataset (3-5) | Pk12 | 17 | |
| Text Segmentation | Choi's Dataset (6-8) | Pk9 | 17 | |
| Text Segmentation | Choi's Dataset (9-11) | Pk9 | 17 | |
| Semantic segmentation | LDC GL IQ LV | F1 Score48 | 12 | |
| Semantic segmentation | OPUS MSA | F1 Score49 | 12 | |
| Semantic segmentation | Rewayat GL | F1 Score44 | 12 | |
| Semantic segmentation | Podcasts CS | F1 Score48 | 12 | |
| Semantic segmentation | MGB-5 MR | F1 Score44 | 12 |
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