SOTAVerified

Grammatical Error Correction

Grammatical Error Correction (GEC) is the task of correcting different kinds of errors in text such as spelling, punctuation, grammatical, and word choice errors.

GEC is typically formulated as a sentence correction task. A GEC system takes a potentially erroneous sentence as input and is expected to transform it to its corrected version. See the example given below:

| Input (Erroneous) | Output (Corrected) | | ------------------------- | ---------------------- | |She see Tom is catched by policeman in park at last night. | She saw Tom caught by a policeman in the park last night.|

Papers

Showing 151200 of 415 papers

TitleStatusHype
Denoising based Sequence-to-Sequence Pre-training for Text Generation0
Deep Learning Model Deployment in Multiple Cloud Providers: an Exploratory Study Using Low Computing Power Environments0
Better Evaluation for Grammatical Error Correction0
A POS Tagging Model Adapted to Learner English0
Data Weighted Training Strategies for Grammatical Error Correction0
Data Strategies for Low-Resource Grammatical Error Correction0
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction0
Czech Grammar Error Correction with a Large and Diverse Corpus0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis0
A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task0
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization0
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction0
CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study0
Cross-lingual Transfer Learning for Grammatical Error Correction0
Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?0
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods0
Automatic Detection of Sentence Fragments0
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction0
A Language Model for Grammatical Error Correction in L2 Russian0
Correction Detection and Error Type Selection as an ESL Educational Aid0
Correcting Serial Grammatical Errors based on N-grams and Syntax0
Automatic Detection of Comma Splices0
Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages0
Grammatical Error Correction Using Integer Linear Programming0
Correcting Chinese Word Usage Errors for Learning Chinese as a Second Language0
Automatic Classification of Russian Learner Errors0
Corpora Generation for Grammatical Error Correction0
Grammatical Error Correction: Machine Translation and Classifiers0
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora0
Conversational Knowledge Teaching Agent that uses a Knowledge Base0
Controlling Grammatical Error Correction Using Word Edit Rate0
Automated Grammatical Error Correction for Language Learners0
A Nested Attention Neural Hybrid Model for Grammatical Error Correction0
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction0
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models0
A Chinese Writing Correction System for Learning Chinese as a Foreign Language0
Grammatical Error Correction Considering Multi-word Expressions0
Grammatical Error Correction: A Survey of the State of the Art0
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma0
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses0
Grammatical Error Correction as Multiclass Classification with Single Model0
Grammatical Error Correction as GAN-like Sequence Labeling0
Grammatical Error Correction Using Feature Selection and Confidence Tuning0
Grammatical error correction using hybrid systems and type filtering0
Grammatical Error Correction: Are We There Yet?0
Controllable Data Synthesis Method for Grammatical Error Correction0
Show:102550
← PrevPage 4 of 9Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ensembles of best 7 models + GRECO + GTP-rerankF0.572.8Unverified
2Majority-voting ensemble on best 7 modelsF0.571.8Unverified
3GRECO (voting+ESC)F0.571.12Unverified
4GEC-DI (LM+GED)F0.569.6Unverified
5Unsupervised GEC + cLang8F0.569.6Unverified
6ESCF0.569.51Unverified
7T5F0.568.87Unverified
8MoECEF0.567.79Unverified
9SynGECF0.567.6Unverified
10Sequence tagging + token-level transformations + two-stage fine-tuning (+BERT, RoBERTa, XLNet)F0.566.5Unverified
#ModelMetricClaimedVerifiedStatus
1Majority-voting ensemble on best 7 modelsF0.581.4Unverified
2GRECO (voting+ESC)F0.580.84Unverified
3ESCF0.579.9Unverified
4RedPenNetF0.577.6Unverified
5clang_large_ft2-gectorF0.577.1Unverified
6Unsupervised GEC + cLang8F0.576.5Unverified
7DeBERTa + RoBERTa + XLNetF0.576.05Unverified
8MoECEF0.574.07Unverified
9Sequence tagging + token-level transformations + two-stage fine-tuning (+RoBERTa, XLNet)F0.573.7Unverified
10BEA CombinationF0.573.2Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.576.75Unverified
2mT5-based multimodal MoEF0.576.3Unverified
3gT5 xxlF0.575.96Unverified
4TransformerF0.573.71Unverified
5Transformer - synthetic pretrain onlyF0.551.41Unverified
6Multilayer Convolutional Encoder-DecoderF0.543.35Unverified
#ModelMetricClaimedVerifiedStatus
1VERNetGLEU62.1Unverified
2Transformer + Pre-train with Pseudo Data + BERTGLEU62Unverified
3SMT + BiGRUGLEU61.5Unverified
4Copy-augmented Model (4 Ensemble +Denoising Autoencoder)GLEU61Unverified
5TransformerGLEU59.9Unverified
6CNN Seq2SeqGLEU57.47Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.574.09Unverified
2mBART-based model with synthetic dataF0.568.17Unverified
3mT5 large + 10M synthF0.568.09Unverified
4RedPenNetF0.567.71Unverified
5ChatGPT (zero-shot)F0.527.4Unverified
#ModelMetricClaimedVerifiedStatus
1GRECO (vote+ESC)F0.585.21Unverified
2SMT + BiGRUF0.572.04Unverified
3CNN Seq2SeqF0.570.14Unverified
#ModelMetricClaimedVerifiedStatus
1CNN Seq2Seq + Quality EstimationF0.556.52Unverified
2TransformerF0.555.8Unverified
3+ BIFI with no criticF0.518.7Unverified
#ModelMetricClaimedVerifiedStatus
1CNN Seq2Seq + Fluency Boost and inferenceGLEU62.37Unverified
2CNN Seq2Seq + Fluency BoostF0.561.34Unverified
3+ BIFI (ours)F0.542.4Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerGLEU59.9Unverified
2CNN Seq2SeqGLEU57.47Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.569.97Unverified
#ModelMetricClaimedVerifiedStatus
1STG-Jointexact match34.1Unverified
#ModelMetricClaimedVerifiedStatus
1GEC-DI (LM+GED)F0.548.61Unverified
#ModelMetricClaimedVerifiedStatus
1RedPenNetF0.577.6Unverified