GEC_papers

This repo is a preliminary compilation of papers for Grammatical Error Correction (GEC). The lack of a public paper list for this field induces lots of difficulty for beginners. Please feel free to make a pull request to enrich this repo.

Datasets

1. CoNLL-2014 Shared Task (Ng 2014; CoNLL; cited 274)
2. JFLEG 1.5K (Napoles 2017; cited 36)
3. BEA Shared Task 2019 (Bryant 2019; cited 14)

Methodology

MT

1. Neural Network Translation Models for Grammatical Error Correction (Chollampatt 2016; IJCAI; cited 35)

Language Model or Pretraining

1. Language Model Based Grammatical Error Correction without Annotated Training Data (Bryant 2018; workshop; cited 17)
2. Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data (Grundkiewicz 2019; workshop; cited 7)
3. The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction (Alikaniotis 2019; Grammarly; cited 1) Copy Mechanism
4. Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data (Zhao 2019; NAACL; cited 24)

Data Augmentation

1. Generating artificial errors for grammatical error correction (Felice 2014; workshop; cited 35)

By MT

1. Improving Grammatical Error Correction with Machine Translation Pairs (Zhou 2019; arxiv; cited 1)

non-English GEC

1. Grammar Error Correction in Morphologically Rich Languages: The Case of Russian (Rozovskaya 2019; TACL; cited 1)
2. MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking (Zhao 2020; AAAI; cited 0)

Evaluation Metrics

1. Problems in Evaluating Grammatical Error Detection Systems (Chodorow 2012; COLING; cited 35)

Surveys

1. A Systematic Review of Automated Grammar Checking in English Language (Soni 2018; arXiv; cited 5)
2. MIT PhD Thesis (Lee 2019; cited 18)