https://github.com/zetangforward/csa-gec
공식 코드Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting
Papers with Code 아카이브
Grammatical Error Correction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 13
- 보존된 평가 기록
- 75
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. |
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhangying9128/btr
공식 코드Bidirectional Transformer Reranker for Grammatical Error Correction
https://github.com/zhawe01/fairseq-gec
공식 코드https://github.com/AlexeySorokin/EditScorer
https://github.com/MS-Mind/MS-Code-01/tree/main/seq2seq
Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
https://github.com/MirunaPislar/multi-head-attention-labeller
https://github.com/Patchwork53/EEEDAY-Dathathon2023-1st-Runners-Up
Bangla Grammatical Error Detection Using T5 Transformer Model
https://github.com/adrianeboyd/boyd-wnut2018
https://github.com/amirmazaheri1990/Visual-Text-Correction
https://github.com/awasthiabhijeet/PIE
Parallel Iterative Edit Models for Local Sequence Transduction
https://github.com/blcuicall/ccl2022-cltc
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
https://github.com/elaynelemos/gector-api
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
https://github.com/gotutiyan/GEC-BART
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model
https://github.com/gotutiyan/gec-t5
A Simple Recipe for Multilingual Grammatical Error Correction
https://github.com/gotutiyan/gector
https://github.com/gotutiyan/scribendi_score
https://github.com/grammatical/pretraining-bea2019
https://github.com/kakaobrain/helo-word
https://github.com/kanekomasahiro/grammatical-error-detection
https://github.com/knarfamlap/low-resource-gec-uk
https://github.com/marekrei/mltagger
https://github.com/masr2000/nacgec
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
https://github.com/nusnlp/esc
https://github.com/nusnlp/neuqe
https://github.com/nusnlp/ugec
https://github.com/pravopysnyk-ai/unlp
https://github.com/psawa/gecko-app
https://github.com/raghavmalawat/presentationmastery
https://github.com/s-ankur/fairseq-gec
https://github.com/seaweiqing/image2story
Neural Network Translation Models for Grammatical Error Correction
https://github.com/seaweiqing/neuraltalk_plus_charcnn
Neural Network Translation Models for Grammatical Error Correction
https://github.com/soyoung97/fairseq-gec-korean
https://github.com/todd-cook/ML-You-Can-Use/blob/master/probablistic_language_modeling/automatic_grammatical_error_corrections_using_BERT_GPT2.ipynb
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
https://github.com/xinykou/Against_Jailbreak
https://github.com/xlxwalex/hycxg
FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction
https://github.com/youichiro/transformer-copy
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.