paper-with-me

Document Classification 벤치마크

Document Classification on Amazon

9개 결과 · ⬇ CSV · JSON

Accuracy

93.03 93.35 93.67 93.99 94.31 2019-04 2026-09 ApproxRepSet — 94.31 (2019-04-03) ApproxRepSet — 94.31 (2019-04-03) ApproxRepSet — 94.31 (2019-04-03) REL-RWMD k-NN — 93.03 (2019-12-01) REL-RWMD k-NN — 93.03 (2019-12-01) REL-RWMD k-NN — 93.03 (2019-12-01) Orthogonalized Soft VSM — 93.42 (2020-03-10) Orthogonalized Soft VSM — 93.42 (2020-03-10) Orthogonalized Soft VSM — 93.42 (2020-03-10) ApproxRepSet — 94.31 (2019-04-03)
RankModel Accuracy PaperCodeYear
1 ApproxRepSet 94.31 Rep the Set: Neural Networks for Learning Set Representations giannisnik/repset 2019
2 Orthogonalized Soft VSM 93.42 Text classification with word embedding regularization and soft similarity measure MIR-MU/regularized-embeddings 2020
3 REL-RWMD k-NN 93.03 Speeding up Word Mover's Distance and its variants via properties of distances between embeddings matwerner/fast-wmd 2019
4 ApproxRepSet 94.31 Rep the Set: Neural Networks for Learning Set Representations giannisnik/repset 2019
5 Orthogonalized Soft VSM 93.42 Text classification with word embedding regularization and soft similarity measure MIR-MU/regularized-embeddings 2020
6 REL-RWMD k-NN 93.03 Speeding up Word Mover's Distance and its variants via properties of distances between embeddings matwerner/fast-wmd 2019
7 ApproxRepSet 94.31 Rep the Set: Neural Networks for Learning Set Representations giannisnik/repset 2019
8 Orthogonalized Soft VSM 93.42 Text classification with word embedding regularization and soft similarity measure MIR-MU/regularized-embeddings 2020
9 REL-RWMD k-NN 93.03 Speeding up Word Mover's Distance and its variants via properties of distances between embeddings matwerner/fast-wmd 2019
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