Papers with Code · CC BY-SA 4.0

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아카이브 평가 21건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
DeBERTa	Accuracy 98.451	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
C-BERT (ESGNN + BERT)	Accuracy 98.28	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
ESGNN	Accuracy 98.23	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
RoBERTaGCN	Accuracy 98.2	BertGCN: Transductive Text Classification by Combining GCN and BERT 2021-05-12	코드 1
BERT	Accuracy 98.171	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
SGNN	Accuracy 98.09	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
ERNIE 2.0	Accuracy 98.041	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
DistilBERT	Accuracy 97.981	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
Our Model*	Accuracy 97.8	Text Level Graph Neural Network for Text Classification 2019-10-06	코드 1 · 코드 2
ALBERTv2	Accuracy 97.62	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
TM-Glove	Accuracy 97.50	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation 2021-04-14	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
GraphStar	Accuracy 97.4	Graph Star Net for Generalized Multi-Task Learning 2019-06-21	코드 1
SSGC	Accuracy 97.4	Simple Spectral Graph Convolution 2021-01-01	코드 1 · 코드 2
SGC	Accuracy 97.2	Simplifying Graph Convolutional Networks 2019-02-19	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
SGCN	Accuracy 97.2	Simplifying Graph Convolutional Networks 2019-02-19	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
NABoE-full	Accuracy 97.1 F-measure 91.7	Neural Attentive Bag-of-Entities Model for Text Classification 2019-09-03	코드 1 · 코드 2 · 코드 3
Text GCN	Accuracy 97.07	Graph Convolutional Networks for Text Classification 2018-09-15	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9
WideMLP	Accuracy 96.98	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1
TextEnt-full	Accuracy 96.7 F-measure 91	Representation Learning of Entities and Documents from Knowledge Base Descriptions 2018-06-08	코드 1 · 코드 2
ConvTextTM	Accuracy 96.4	ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification 논문 날짜 미기재	연결 없음
fastText	Accuracy 96.13	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets 2022-11-30	코드 1