Codesota · Models · Oracle-BOWUnknown1 results · 1 benchmarks
Model card

Oracle-BOW.

Unknownnlporacle-extractive

Oracle extractive upper bound using bag-of-words. From HowSumm paper (arXiv 2110.03179).

§ 02 · Benchmarks

Every benchmark Oracle-BOW has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01howsumm-stepComputer Vision · Optical Character Recognitionrouge-146.0%#2/162021-10-07source ↗
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 · Strengths by area

Where Oracle-BOW actually performs.

Computer Vision
1
benchmark
avg rank #2.0
§ 04 · Papers

1 paper with results for Oracle-BOW.

  1. 2021-10-07· Computer Vision· 1 result

    HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles

§ 05 · Related models

Other Unknown models scored on Codesota.

CRAFT
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GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
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TESTR
Unknown params · 12 results
§ 06 · Sources & freshness

Where these numbers come from.

paper
1
result
1 of 1 rows marked verified.