← Grammatical Error Correction
Papers with Code · CC BY-SA 4.0

BEA-2019 (test)

아카이브 평가 19건 · 마지막 적재/변경

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
모델원본 지표·값논문구현
Majority-voting ensemble on best 7 models
F0.5
81.4
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
2024-04-23
코드 1
GRECO (voting+ESC)
F0.5
80.84
System Combination via Quality Estimation for Grammatical Error Correction
2023-10-23
코드 1
ESC
F0.5
79.90
Frustratingly Easy System Combination for Grammatical Error Correction
논문 날짜 미기재
코드 1
RedPenNet
F0.5
77.60
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans
2023-09-19
코드 1
clang_large_ft2-gector
F0.5
77.1
Improved grammatical error correction by ranking elementary edits
2021-11-16
코드 1
Unsupervised GEC + cLang8
F0.5
76.5
Unsupervised Grammatical Error Correction Rivaling Supervised Methods
2023-12-06
코드 1
DeBERTa + RoBERTa + XLNet
F0.5
76.05
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction
2022-03-24
코드 1
MoECE
F0.5
74.07
Efficient and Interpretable Grammatical Error Correction with Mixture of Experts
2024-10-30
코드 1
Sequence tagging + token-level transformations + two-stage fine-tuning (+RoBERTa, XLNet)
F0.5
73.7
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
2020-05-26
코드 1 · 코드 2 · 코드 3
BEA Combination
F0.5
73.2
Learning to combine Grammatical Error Corrections
2019-06-10
코드 1
GEC-DI (LM+GED)
F0.5
73.1
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
2023-10-23
코드 1
LM-Critic
F0.5
72.9
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
2021-09-14
코드 1 · 코드 2 · 코드 3
Sequence tagging + token-level transformations + two-stage fine-tuning (+XLNet)
F0.5
72.4
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
2020-05-26
코드 1 · 코드 2 · 코드 3
Transformer + Pre-train with Pseudo Data
F0.5
70.2
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
2019-09-02
코드 1
Transformer + Pre-train with Pseudo Data (+BERT)
F0.5
69.8
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
2020-05-03
코드 1
Transformer
F0.5
69.5
Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data
2019-08-01
코드 1
Transformer
F0.5
69.0
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning
2019-07-02
코드 1 · 코드 2
VERNet
F0.5
68.9
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
2021-05-10
코드 1
Ensemble of models
F0.5
66.78
The LAIX Systems in the BEA-2019 GEC Shared Task
2019-08-01
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