Codesota · Models · MatchSum (BERT-base)Unknown3 results · 1 benchmarks
Model card

MatchSum (BERT-base).

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark MatchSum (BERT-base) has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01cnn-/-daily-mailComputer Vision · Optical Character Recognitionrouge-144.2%#12/332020-04-19source ↗
02cnn-/-daily-mailComputer Vision · Optical Character Recognitionrouge-220.6%#14/332020-04-19source ↗
03cnn-/-daily-mailComputer Vision · Optical Character Recognitionrouge-l40.4%#15/332020-04-19source ↗
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 MatchSum (BERT-base) actually performs.

Computer Vision
1
benchmark
avg rank #13.7
§ 04 · Papers

1 paper with results for MatchSum (BERT-base).

  1. 2020-04-19· Computer Vision· 3 results

    Extractive Summarization as Text Matching

§ 05 · Related models

Other Unknown models scored on Codesota.

CRAFT
Unknown params · 21 results
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
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness

Where these numbers come from.

papers-with-code
3
results
3 of 3 rows marked verified.