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 251300 of 415 papers

TitleStatusHype
Improving Precision of Grammatical Error Correction with a Cheat Sheet0
Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic DataCode0
Erroneous data generation for Grammatical Error Correction0
Neural and FST-based approaches to grammatical error correction0
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus0
TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track0
The LAIX Systems in the BEA-2019 GEC Shared Task0
The BLCU System in the BEA 2019 Shared Task0
The BEA-2019 Shared Task on Grammatical Error Correction0
The AIP-Tohoku System at the BEA-2019 Shared Task0
Artificial Error Generation with Fluency Filtering0
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus0
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction0
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer LearningCode0
Controlling Grammatical Error Correction Using Word Edit Rate0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study0
Cross-Sentence Grammatical Error CorrectionCode0
The CUED's Grammatical Error Correction Systems for BEA-20190
Learning to combine Grammatical Error CorrectionsCode0
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error CorrectionCode0
Corpora Generation for Grammatical Error Correction0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?0
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG SystemsCode0
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation0
Neural Grammatical Error Correction with Finite State Transducers0
Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses0
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled DataCode0
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support SystemsCode0
An Automatic Error Tagger for German0
A POS Tagging Model Adapted to Learner English0
Using Wikipedia Edits in Low Resource Grammatical Error CorrectionCode0
Weakly Supervised Grammatical Error Correction using Iterative Decoding0
Neural Quality Estimation of Grammatical Error CorrectionCode0
Wronging a Right: Generating Better Errors to Improve Grammatical Error DetectionCode0
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction0
How do you correct run-on sentences it's not as easy as it seems0
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora0
A Chinese Writing Correction System for Learning Chinese as a Foreign Language0
A Reassessment of Reference-Based Grammatical Error Correction MetricsCode0
Correcting Chinese Word Usage Errors for Learning Chinese as a Second Language0
An Annotated Corpus of Picture Stories Retold by Language Learners0
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical StudyCode0
A Simple but Effective Classification Model for Grammatical Error Correction0
Multi-task learning for historical text normalization: Size matters0
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis0
Inherent Biases in Reference-based Evaluation for Grammatical Error CorrectionCode0
Fluency Boost Learning and Inference for Neural Grammatical Error Correction0
Language Model Based Grammatical Error Correction without Annotated Training Data0
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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