[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types-3/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction» · page 3 # Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction» · page 3 251 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/bryant-2017-automatic-annotation-evaluation-error-types/) Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types-2/) · **3** 1. [Fluency Boost Learning and Inference for Neural Grammatical Error Correction](https://aclanthology.org/P18-1097/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)* 2. [Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification](https://arxiv.org/abs/1804.11254) *— 2018 · arXiv:1804.11254* 3. [Inherent Biases in Reference-based Evaluation for Grammatical Error Correction](https://aclanthology.org/P18-1059/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)* 4. [Language Model Based Grammatical Error Correction without Annotated Training Data](https://aclanthology.org/W18-0529/) *— 2018 · Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications* 5. [Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study](https://arxiv.org/abs/1807.01270) *— 2018 · arXiv:1807.01270* 6. [Connecting the Dots: Towards Human-Level Grammatical Error Correction](https://aclanthology.org/W17-5037/) *— 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications* 7. [GEC into the future: Where are we going and how do we get there?](https://aclanthology.org/W17-5019/) *— 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications* 8. [NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students](https://aclanthology.org/W17-5901/) *— 2017 · Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)* 9. [Systematically Adapting Machine Translation for Grammatical Error Correction](https://aclanthology.org/W17-5039/) *— 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications* 10. akef-2026-llm-powered-but-rule-grounded 11. behera-2025-hilearners-non-native-spoken-hindi 12. behzad-2023-sentence-level-feedback-generation-english 13. ceritli-2025-hydraopt-navigating-efficiency-performance-trade 14. das-2025-zero-shot-grammar-competency-estimation 15. do-2025-prompt-generalization-grammar-aware-cross 16. du-2023-data-augmentation-sentrev-back-translation 17. du-2023-sentence-level-revision-neural-reinforcement 18. fioravanti-2024-automatic-error-detection-comparing-ai 19. gao-2025-bliss-1-0-evaluating-bilingual 20. gomis-2025-demint-automated-language-debriefing-english 21. gu-2025-improving-automatic-grammatical-error-annotation 22. he-2023-pivotfec-enhancing-few-shot-factual 23. kempfert-2018-automatic-error-tagger-german 24. liang-2023-chatback-investigating-methods-providing-grammatical 25. liu-2025-fine-tuning-gec-model-based 26. mallart-2023-exploring-new-grammatico-functional-type 27. masciolini-2023-automatically-extracting-morphosyntactical-error-patterns 28. moner-2022-generation-synthetic-error-data-verb 29. nagata-2022-exploring-capacity-large-scale-masked 30. ormerod-2025-automated-essay-scoring-incorporating-annotations 31. ortiz-2024-conversational-intelligent-tutoring-system-improving 32. ostling-2025-llm-based-post-editing-as 33. park-2025-leveraging-what-s-overfixed-post 34. qiu-2019-artificial-error-generation-fluency-filtering 35. qorib-2023-allecs-lightweight-language-error-correction 36. stahl-2023-identifying-feedback-types-augment-feedback 37. stahl-2024-exploring-llm-prompting-strategies-joint 38. stahlberg-2019-cued-s-grammatical-error-correction 39. stahlberg-2019-neural-grammatical-error-correction-finite 40. stahlberg-2020-seq2edits-sequence-transduction-using-span 41. stahlberg-2021-synthetic-data-generation-grammatical-error 42. stahlberg-2024-synthetic-data-generation-low-resource 43. staruch-2025-adapting-llms-minimal-edit-grammatical 44. tanaka-2022-image-description-dataset-language-learners 45. vadehra-2025-time-is-effort-estimating-human 46. vainikko-2025-paragraph-level-error-correction-explanation 47. wan-2023-new-datasets-controllable-iterative-data 48. wang-2024-assessing-efficacy-grammar-error-correction 49. yamaguchi-2024-automatic-decomposition-text-editing-examples 50. zhang-2025-synthesizing-adapting-error-correction-data 51. zheng-2021-alignment-agnostic-model-chinese-text Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types-2/) · **3** - [← previous Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2017-automatic-annotation-evaluation-error-types-2/) - [next → Who cites «The BEA-2019 Shared Task on Grammatical Error Correction»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2019-bea-2019-shared-task-grammatical/) - [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)