Text Segmentation on Choi's Dataset (6-8)
2.5PkEmbed-KCPD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Embed-KCPDEmbedding Model=text-embedding-3-small, Kernel Type=Cosine2026.01 | 2.5 | 2.6 | |
| Embed-KCPDEmbedding Model=RoBERTa, Kernel Type=Cosine2026.01 | 2.9 | 3.1 | |
| Fragkou et al.2026.01 | 3 | — | |
| Embed-KCPDEmbedding Model=MPNet, Kernel Type=Cosine2026.01 | 3.1 | 3.2 | |
| Coherence2026.01 | 3.1 | 3.3 | |
| Embed-KCPDEmbedding Model=sBERT, Kernel Type=Cosine2026.01 | 3.3 | 3.4 | |
| Embed-KCPDEmbedding Model=text-embedding-3-small, Kernel Type=RBF2026.01 | 4.6 | 4.7 | |
| Embed-KCPDEmbedding Model=RoBERTa, Kernel Type=RBF2026.01 | 4.9 | 5 | |
| Embed-KCPDEmbedding Model=MPNet, Kernel Type=RBF2026.01 | 5.1 | 5.1 | |
| Embed-KCPDEmbedding Model=sBERT, Kernel Type=RBF2026.01 | 6.7 | 6.7 | |
| GraphSeg2026.01 | 7.2 | 9.4 | |
| Brants et al.2026.01 | 8 | — | |
| Choi2026.01 | 9 | — | |
| Misra et al.2026.01 | 15.8 | — | |
| TextTilingEmbedding Model=MPNet2026.01 | 37.6 | 76.7 | |
| TextTiling2026.01 | 43 | — | |
| TextTilingEmbedding Model=sBERT2026.01 | 45.3 | 91.7 |