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Text Classification 벤치마크

Text Classification on MR

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Accuracy

76.7 80.85 85 89.15 93.3 2019-02 2026-11 VLAWE — 93.3 (2019-02-23) VLAWE — 93.3 (2019-02-23) SSGC — 76.7 (2021-01-01) SSGC — 76.7 (2021-01-01) RoBERTaGCN — 89.7 (2021-05-12) RoBERTaGCN — 89.7 (2021-05-12) DeBERTa — 90.21 (2022-11-30) ERNIE 2.0 (optimized) — 89.53 (2022-11-30) RoBERTa — 89.42 (2022-11-30) ERNIE 2.0 — 88.97 (2022-11-30) BERT — 86.94 (2022-11-30) ALBERTv2 — 86.02 (2022-11-30) DistilBERT — 85.31 (2022-11-30) DeBERTa — 90.21 (2022-11-30) ERNIE 2.0 (optimized) — 89.53 (2022-11-30) RoBERTa — 89.42 (2022-11-30) ERNIE 2.0 — 88.97 (2022-11-30) BERT — 86.94 (2022-11-30) ALBERTv2 — 86.02 (2022-11-30) DistilBERT — 85.31 (2022-11-30) VLAWE — 93.3 (2019-02-23)
RankModel Accuracy PaperCodeYear
1 VLAWE 93.3 Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation raduionescu/vlawe-boswe 2019
2 DeBERTa 90.21 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
3 RoBERTaGCN 89.7 BertGCN: Transductive Text Classification by Combining GCN and BERT ZeroRin/BertGCN 2021
4 ERNIE 2.0 (optimized) 89.53 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
5 RoBERTa 89.42 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
6 ERNIE 2.0 88.97 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
7 BERT 86.94 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
8 ALBERTv2 86.02 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
9 DistilBERT 85.31 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
10 SSGC 76.7 Simple Spectral Graph Convolution allenhaozhu/SSGC · hazdzz/SSGC 2021
11 VLAWE 93.3 Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation raduionescu/vlawe-boswe 2019
12 DeBERTa 90.21 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
13 RoBERTaGCN 89.7 BertGCN: Transductive Text Classification by Combining GCN and BERT ZeroRin/BertGCN 2021
14 ERNIE 2.0 (optimized) 89.53 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
15 RoBERTa 89.42 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
16 ERNIE 2.0 88.97 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
17 BERT 86.94 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
18 ALBERTv2 86.02 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
19 DistilBERT 85.31 Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets FKarl/short-text-classification 2022
20 SSGC 76.7 Simple Spectral Graph Convolution allenhaozhu/SSGC · hazdzz/SSGC 2021
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