paper-with-me

Text Classification 벤치마크

Text Classification on Ohsumed

20개 결과 · ⬇ CSV · JSON

Accuracy

36.2 45.35 54.5 63.65 72.8 2017-07 2026-09 CNN+Lowercased — 36.2 (2017-07-06) CNN+Lowercased — 36.2 (2017-07-06) Text GCN — 68.36 (2018-09-15) Text GCN — 68.36 (2018-09-15) SGCN — 68.5 (2019-02-19) SGC — 68.5 (2019-02-19) SGCN — 68.5 (2019-02-19) SGC — 68.5 (2019-02-19) ApproxRepSet — 64.06 (2019-04-03) ApproxRepSet — 64.06 (2019-04-03) GraphStar — 64.2 (2019-06-21) GraphStar — 64.2 (2019-06-21) Our Model* — 69.4 (2019-10-06) Our Model* — 69.4 (2019-10-06) REL-RWMD k-NN — 58.74 (2019-12-01) REL-RWMD k-NN — 58.74 (2019-12-01) SSGC — 68.5 (2021-01-01) SSGC — 68.5 (2021-01-01) RoBERTaGCN — 72.8 (2021-05-12) RoBERTaGCN — 72.8 (2021-05-12) CNN+Lowercased — 36.2 (2017-07-06) Text GCN — 68.36 (2018-09-15) SGCN — 68.5 (2019-02-19) Our Model* — 69.4 (2019-10-06) RoBERTaGCN — 72.8 (2021-05-12)
RankModel Accuracy PaperCodeYear
1 RoBERTaGCN 72.8 BertGCN: Transductive Text Classification by Combining GCN and BERT ZeroRin/BertGCN 2021
2 Our Model* 69.4 Text Level Graph Neural Network for Text Classification mojave-pku/TextLevelGCN · Cynwell/Text-Level-GNN 2019
3 SGCN 68.5 Simplifying Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +4 2019
3 SGC 68.5 Simplifying Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +4 2019
3 SSGC 68.5 Simple Spectral Graph Convolution allenhaozhu/SSGC · hazdzz/SSGC 2021
6 Text GCN 68.36 Graph Convolutional Networks for Text Classification yao8839836/text_gcn · plkmo/Bible_Text_GCN · codeKgu/text-gcn · +6 2018
7 GraphStar 64.2 Graph Star Net for Generalized Multi-Task Learning graph-star-team/graph_star 2019
8 ApproxRepSet 64.06 Rep the Set: Neural Networks for Learning Set Representations giannisnik/repset 2019
9 REL-RWMD k-NN 58.74 Speeding up Word Mover's Distance and its variants via properties of distances between embeddings matwerner/fast-wmd 2019
10 CNN+Lowercased 36.2 On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis pedrada88/preproc-textclassification · changji2069/Scope-Project · changji2069/literature-review 2017
11 RoBERTaGCN 72.8 BertGCN: Transductive Text Classification by Combining GCN and BERT ZeroRin/BertGCN 2021
12 Our Model* 69.4 Text Level Graph Neural Network for Text Classification mojave-pku/TextLevelGCN · Cynwell/Text-Level-GNN 2019
13 SGCN 68.5 Simplifying Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +4 2019
13 SGC 68.5 Simplifying Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +4 2019
13 SSGC 68.5 Simple Spectral Graph Convolution allenhaozhu/SSGC · hazdzz/SSGC 2021
16 Text GCN 68.36 Graph Convolutional Networks for Text Classification yao8839836/text_gcn · plkmo/Bible_Text_GCN · codeKgu/text-gcn · +6 2018
17 GraphStar 64.2 Graph Star Net for Generalized Multi-Task Learning graph-star-team/graph_star 2019
18 ApproxRepSet 64.06 Rep the Set: Neural Networks for Learning Set Representations giannisnik/repset 2019
19 REL-RWMD k-NN 58.74 Speeding up Word Mover's Distance and its variants via properties of distances between embeddings matwerner/fast-wmd 2019
20 CNN+Lowercased 36.2 On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis pedrada88/preproc-textclassification · changji2069/Scope-Project · changji2069/literature-review 2017
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