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 301350 of 415 papers

TitleStatusHype
Linguistic Features of Helpfulness in Automated Support for Creative Writing0
Language Model Based Grammatical Error Correction without Annotated Training Data0
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder ModelsCode0
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods0
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content0
Automatic Metric Validation for Grammatical Error CorrectionCode0
Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text SimplificationCode0
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation TaskCode0
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation0
Reference-less Measure of Faithfulness for Grammatical Error CorrectionCode0
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error CorrectionCode0
Visual Text CorrectionCode0
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis0
Keynote Lecture 2: Grammatical Error Correction: Past, Present and Future0
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English0
Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems0
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction0
Connecting the Dots: Towards Human-Level Grammatical Error Correction0
Neural Sequence-Labelling Models for Grammatical Error Correction0
A Report on the 2017 Native Language Identification Shared Task0
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction0
Systematically Adapting Machine Translation for Grammatical Error CorrectionCode0
GEC into the future: Where are we going and how do we get there?0
Collecting fluency corrections for spoken learner English0
A Nested Attention Neural Hybrid Model for Grammatical Error Correction0
Grammatical Error Correction with Neural Reinforcement Learning0
Automatic Annotation and Evaluation of Error Types for Grammatical Error CorrectionCode0
Towards Universal Dependencies for Learner Chinese0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors0
JFLEG: A Fluency Corpus and Benchmark for Grammatical Error CorrectionCode0
Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis0
Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments0
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models0
There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error CorrectionCode0
Numerically Grounded Language Models for Semantic Error Correction0
Grammatical Error Correction: Machine Translation and Classifiers0
Phrase Structure Annotation and Parsing for Learner English0
Candidate re-ranking for SMT-based grammatical error correction0
Model Combination for Correcting Preposition Selection Errors0
Neural Network Translation Models for Grammatical Error CorrectionCode0
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection0
Combined Tree Kernel-based classifiers for Assessing Quality of Scientific Text0
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation0
Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot study0
A Report on the Automatic Evaluation of Scientific Writing Shared Task0
Sentential Paraphrasing as Black-Box Machine Translation0
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction0
Grammatical error correction using neural machine translation0
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction0
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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