Text Segmentation on Choi's Dataset (3-5)
3.6PkEmbed-KCPD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Embed-KCPDEmbedding Model=text-embedding-3-small, Kernel Type=Cosine2026.01 | 3.6 | 3.6 | |
| Embed-KCPDEmbedding Model=text-embedding-3-small, Kernel Type=RBF2026.01 | 3.9 | 3.9 | |
| Embed-KCPDEmbedding Model=MPNet, Kernel Type=Cosine2026.01 | 4.1 | 4.1 | |
| Embed-KCPDEmbedding Model=RoBERTa, Kernel Type=Cosine2026.01 | 4.1 | 4.1 | |
| Embed-KCPDEmbedding Model=RoBERTa, Kernel Type=RBF2026.01 | 4.3 | 4.3 | |
| Embed-KCPDEmbedding Model=MPNet, Kernel Type=RBF2026.01 | 4.4 | 4.4 | |
| Coherence2026.01 | 4.4 | 6.2 | |
| Embed-KCPDEmbedding Model=sBERT, Kernel Type=Cosine2026.01 | 5.2 | 5.2 | |
| Embed-KCPDEmbedding Model=sBERT, Kernel Type=RBF2026.01 | 5.4 | 5.4 | |
| Fragkou et al.2026.01 | 5.5 | — | |
| GraphSeg2026.01 | 5.6 | 8.7 | |
| Brants et al.2026.01 | 7.4 | — | |
| Choi2026.01 | 12 | — | |
| Misra et al.2026.01 | 23 | — | |
| TextTiling2026.01 | 44 | — | |
| TextTilingEmbedding Model=MPNet2026.01 | 44.6 | 86.3 | |
| TextTilingEmbedding Model=sBERT2026.01 | 50 | 96.9 |