ML Research Wiki / Benchmarks / Text Classification / MR

MR

Text Classification Benchmark

Performance Over Time

📊 Showing 9 results | 📏 Metric: Accuracy

Top Performing Models

Rank	Model	Paper	Accuracy	Date	Code
1	VLAWE	Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation	93.30	2019-02-23	📦 raduionescu/vlawe-boswe
2	DeBERTa	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	90.21	2022-11-30	📦 FKarl/short-text-classification
3	RoBERTaGCN	BertGCN: Transductive Text Classification by Combining GCN and BERT	89.70	2021-05-12	📦 ZeroRin/BertGCN
4	ERNIE 2.0 (optimized)	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	89.53	2022-11-30	📦 FKarl/short-text-classification
5	RoBERTa	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	89.42	2022-11-30	📦 FKarl/short-text-classification
6	ERNIE 2.0	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	88.97	2022-11-30	📦 FKarl/short-text-classification
7	BERT	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	86.94	2022-11-30	📦 FKarl/short-text-classification
8	ALBERTv2	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	86.02	2022-11-30	📦 FKarl/short-text-classification
9	DistilBERT	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets	85.31	2022-11-30	📦 FKarl/short-text-classification

All Papers (9)

Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation

2019

VLAWE

raduionescu/vlawe-boswe

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

DeBERTa

FKarl/short-text-classification

BertGCN: Transductive Text Classification by Combining GCN and BERT

2021

RoBERTaGCN

ZeroRin/BertGCN

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

ERNIE 2.0 (optimized)

FKarl/short-text-classification

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

RoBERTa

FKarl/short-text-classification

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

ERNIE 2.0

FKarl/short-text-classification

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

BERT

FKarl/short-text-classification

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

ALBERTv2

FKarl/short-text-classification

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

2022

DistilBERT

FKarl/short-text-classification

MR

Performance Over Time

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Top Performing Models

All Papers (9)

Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

BertGCN: Transductive Text Classification by Combining GCN and BERT

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

Model	Paper	Accuracy	Date
VLAWE	Vector of Locally-Aggregated Word Embeddings (VLA…	93.30	2019-02-23
DeBERTa	Transformers are Short Text Classifiers: A Study …	90.21	2022-11-30
RoBERTaGCN	BertGCN: Transductive Text Classification by Comb…	89.70	2021-05-12
ERNIE 2.0 (optimized)	Transformers are Short Text Classifiers: A Study …	89.53	2022-11-30
RoBERTa	Transformers are Short Text Classifiers: A Study …	89.42	2022-11-30
ERNIE 2.0	Transformers are Short Text Classifiers: A Study …	88.97	2022-11-30
BERT	Transformers are Short Text Classifiers: A Study …	86.94	2022-11-30
ALBERTv2	Transformers are Short Text Classifiers: A Study …	86.02	2022-11-30
DistilBERT	Transformers are Short Text Classifiers: A Study …	85.31	2022-11-30