Model card
SumHiS.
SumHiS Authorsopen-sourceExtractive summarization exploiting hidden document structure
SumHiS: Extractive Summarization Exploiting Hidden Structure. arXiv:2406.08215 (Jun 2024). Uses latent sentence-graph structure for extractive selection. Achieves SOTA ROUGE-2 (32.52) among extractive models on CNN/DM by exploiting paragraph-level hidden structure with semantic filtering.
§ 01 · Benchmarks
Every benchmark SumHiS has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-2 | 32.5% | #1 | 2024-06-12 | source ↗ |
| 02 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-l | 42.4% | #5 | 2024-06-12 | source ↗ |
| 03 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-1 | 43.5% | #16 | 2024-06-12 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for SumHiS.
- 2024-06-12· Natural Language Processing· 3 results
SumHiS: Extractive Summarization Exploiting Hidden Structure
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
3
results
3 of 3 rows marked verified.