Text Segmentation on Choi's Dataset (9-11)
1.3PkFragkou et al.
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Fragkou et al.2026.01 | 1.3 | — | |
| Coherence2026.01 | 2.5 | 2.6 | |
| Embed-KCPDEmbedding Model=text-embedding-3-small, Kernel Type=Cosine2026.01 | 3.1 | 3.1 | |
| Embed-KCPDEmbedding Model=RoBERTa, Kernel Type=Cosine2026.01 | 3.4 | 3.6 | |
| Embed-KCPDEmbedding Model=MPNet, Kernel Type=Cosine2026.01 | 3.8 | 3.8 | |
| Embed-KCPDEmbedding Model=sBERT, Kernel Type=Cosine2026.01 | 4.1 | 4.2 | |
| Embed-KCPDEmbedding Model=text-embedding-3-small, Kernel Type=RBF2026.01 | 5.6 | 7.3 | |
| Embed-KCPDEmbedding Model=RoBERTa, Kernel Type=RBF2026.01 | 5.7 | 5.7 | |
| Embed-KCPDEmbedding Model=MPNet, Kernel Type=RBF2026.01 | 6.3 | 6.3 | |
| GraphSeg2026.01 | 6.6 | 9.6 | |
| Brants et al.2026.01 | 6.8 | — | |
| Embed-KCPDEmbedding Model=sBERT, Kernel Type=RBF2026.01 | 7.6 | 7.6 | |
| Choi2026.01 | 9 | — | |
| Misra et al.2026.01 | 14.4 | — | |
| TextTilingEmbedding Model=MPNet2026.01 | 31.1 | 70.1 | |
| TextTilingEmbedding Model=sBERT2026.01 | 40.3 | 86.6 | |
| TextTiling2026.01 | 48 | — |