Codesota · Models · Field-gating Seq2seq + dual attention + beam searchUnknown2 results · 1 benchmarks
Model card

Field-gating Seq2seq + dual attention + beam search.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark Field-gating Seq2seq + dual attention + beam search has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01wikibioComputer Vision · Optical Character Recognitionrouge41.6%#2/62017-11-27source ↗
02wikibioComputer Vision · Optical Character Recognitionbleu44.7%#7/92017-11-27source ↗
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 Field-gating Seq2seq + dual attention + beam search actually performs.

Computer Vision
1
benchmark
avg rank #4.5
§ 03 · Papers

1 paper with results for Field-gating Seq2seq + dual attention + beam search.

  1. 2017-11-27· Computer Vision· 2 results

    Table-to-text Generation by Structure-aware Seq2seq Learning

§ 04 · Related models

Other Unknown models scored on Codesota.

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§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
2
results
2 of 2 rows marked verified.