Model card
Bottom-Up Sum.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Bottom-Up Sum has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | ppl | 32.8% | #1 | 2018-08-31 | source ↗ |
| 02 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-l | 38.3% | #20 | 2018-08-31 | source ↗ |
| 03 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-1 | 41.2% | #21 | 2018-08-31 | source ↗ |
| 04 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-2 | 18.7% | #22 | 2018-08-31 | 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.
§ 02 · Strengths by area
Where Bottom-Up Sum actually performs.
§ 03 · Papers
1 paper with results for Bottom-Up Sum.
- 2018-08-31· Computer Vision· 4 results
Bottom-Up Abstractive Summarization
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
4 of 4 rows marked verified.