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Text Classification 벤치마크

Text Classification on R8

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Accuracy

96.13 96.71 97.29 97.87 98.45 2018-06 2026-11 TextEnt-full — 96.7 (2018-06-08) TextEnt-full — 96.7 (2018-06-08) Text GCN — 97.07 (2018-09-15) Text GCN — 97.07 (2018-09-15) SGC — 97.2 (2019-02-19) SGCN — 97.2 (2019-02-19) SGC — 97.2 (2019-02-19) SGCN — 97.2 (2019-02-19) GraphStar — 97.4 (2019-06-21) GraphStar — 97.4 (2019-06-21) NABoE-full — 97.1 (2019-09-03) NABoE-full — 97.1 (2019-09-03) Our Model* — 97.8 (2019-10-06) Our Model* — 97.8 (2019-10-06) SSGC — 97.4 (2021-01-01) SSGC — 97.4 (2021-01-01) TM-Glove — 97.5 (2021-04-14) TM-Glove — 97.5 (2021-04-14) RoBERTaGCN — 98.2 (2021-05-12) RoBERTaGCN — 98.2 (2021-05-12) DeBERTa — 98.451 (2022-11-30) C-BERT (ESGNN + BERT) — 98.28 (2022-11-30) ESGNN — 98.23 (2022-11-30) BERT — 98.171 (2022-11-30) SGNN — 98.09 (2022-11-30) ERNIE 2.0 — 98.041 (2022-11-30) DistilBERT — 97.981 (2022-11-30) ALBERTv2 — 97.62 (2022-11-30) WideMLP — 96.98 (2022-11-30) fastText — 96.13 (2022-11-30) DeBERTa — 98.451 (2022-11-30) C-BERT (ESGNN + BERT) — 98.28 (2022-11-30) ESGNN — 98.23 (2022-11-30) BERT — 98.171 (2022-11-30) SGNN — 98.09 (2022-11-30) ERNIE 2.0 — 98.041 (2022-11-30) DistilBERT — 97.981 (2022-11-30) ALBERTv2 — 97.62 (2022-11-30) WideMLP — 96.98 (2022-11-30) fastText — 96.13 (2022-11-30) TextEnt-full — 96.7 (2018-06-08) Text GCN — 97.07 (2018-09-15) SGC — 97.2 (2019-02-19) GraphStar — 97.4 (2019-06-21) Our Model* — 97.8 (2019-10-06) RoBERTaGCN — 98.2 (2021-05-12) DeBERTa — 98.451 (2022-11-30)
RankModel AccuracyF-measure PaperCodeYear
1 DeBERTa 98.451– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
2 C-BERT (ESGNN + BERT) 98.28– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
3 ESGNN 98.23– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
4 RoBERTaGCN 98.2– BertGCN: Transductive Text Classification by Combining GCN and BERT ZeroRin/BertGCN 2021
5 BERT 98.171– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
6 SGNN 98.09– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
7 ERNIE 2.0 98.041– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
8 DistilBERT 97.981– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
9 Our Model* 97.8– Text Level Graph Neural Network for Text Classification mojave-pku/TextLevelGCN · Cynwell/Text-Level-GNN 2019
10 ALBERTv2 97.62– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
11 TM-Glove 97.50– Enhancing Interpretable Clauses Semantically using Pretrained Word Representation cair/TsetlinMachine · cair/pyTsetlinMachine · cair/pyTsetlinMachineParallel · +3 2021
12 GraphStar 97.4– Graph Star Net for Generalized Multi-Task Learning graph-star-team/graph_star 2019
12 SSGC 97.4– Simple Spectral Graph Convolution allenhaozhu/SSGC · hazdzz/SSGC 2021
14 SGC 97.2– Simplifying Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +4 2019
14 SGCN 97.2– Simplifying Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +4 2019
16 NABoE-full 97.191.7 Neural Attentive Bag-of-Entities Model for Text Classification studio-ousia/wikipedia2vec · wikipedia2vec/wikipedia2vec · wikipedia2vec/wikipedia2vec 2019
17 Text GCN 97.07– Graph Convolutional Networks for Text Classification yao8839836/text_gcn · plkmo/Bible_Text_GCN · codeKgu/text-gcn · +6 2018
18 WideMLP 96.98– Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
19 TextEnt-full 96.791 Representation Learning of Entities and Documents from Knowledge Base Descriptions wikipedia2vec/wikipedia2vec · studio-ousia/textent 2018
20 ConvTextTM 96.4– ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
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