Who cites «Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction» · page 2

251 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
MultiGED-2023 shared task at NLP4CALL: Multilingual Grammatical Error Detection — 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning
Non-autoregressive Text Editing with Copy-aware Latent Alignments — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Rating Short L2 Essays on the CEFR Scale with GPT-4 — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans — 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Smart Word Suggestions for Writing Assistance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
System Combination via Quality Estimation for Grammatical Error Correction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
System Report for CCL23-Eval Task 7: THU KELab (sz) - Exploring Data Augmentation and Denoising for Chinese Grammatical Error Correction — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
Template-guided Grammatical Error Feedback Comment Generation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
TemplateGEC: Improving Grammatical Error Correction with Detection Template — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Towards Automatic Grammatical Error Type Classification for Turkish — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
TransGEC: Improving Grammatical Error Correction with Translationese — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
エッセイ自動採点における文法特徴と学習者レベルの関係 — 2023 · 言語処理学会第29回年次大会発表論文集 (NLP2023)
Automatic Classification of Russian Learner Errors — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Automatic Correction of Human Translations — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Dynamic Negative Example Construction for Grammatical Error Correction using Contrastive Learning — 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics
Enriching Grammatical Error Correction Resources for Modern Greek — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Frustratingly Easy System Combination for Grammatical Error Correction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks? — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
IMPARA: Impact-Based Metric for GEC Using Parallel Data — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Improving Grammatical Error Correction for Multiword Expressions — 2022 · Proceedings of the 18th Workshop on Multiword Expressions @LREC2022
Interpretability for Language Learners Using Example-Based Grammatical Error Correction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
On Assessing and Developing Spoken `Grammatical Error Correction' Systems — 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)
ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Probing for targeted syntactic knowledge through grammatical error detection — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
Revisiting Grammatical Error Correction Evaluation and Beyond — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Semi-automatically Annotated Learner Corpus for Russian — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
``Is Whole Word Masking Always Better for Chinese BERT?'''': Probing on Chinese Grammatical Error Correction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Automatic Error Type Annotation for Arabic — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Comparison of Grammatical Error Correction Using Back-Translation Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
Data-to-text Generation by Splicing Together Nearest Neighbors — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Do Grammatical Error Correction Models Realize Grammatical Generalization? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Document-level grammatical error correction — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
ELERRANT: Automatic Grammatical Error Type Classification for Greek — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
GECko+: a Grammatical and Discourse Error Correction Tool — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 : Démonstrations
Grammatical Error Correction as GAN-like Sequence Labeling — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Grammatical Error Correction with Contrastive Learning in Low Error Density Domains — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Grammatical Error Generation Based on Translated Fragments — 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
How Good (really) are Grammatical Error Correction Systems? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
LM-Critic: Language Models for Unsupervised Grammatical Error Correction — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Rethinking Perturbations in Encoder-Decoders for Fast Training — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
SERRANT: a syntactic classifier for English Grammatical Error Types — 2021 · arXiv:2104.02310
System Combination for Grammatical Error Correction Based on Integer Programming — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
Various Errors Improve Neural Grammatical Error Correction — 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
Visual Cues and Error Correction for Translation Robustness — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction — 2020 · Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications
A Crash Course in Automatic Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
Adversarial Grammatical Error Correction — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Cross-lingual Transfer Learning for Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Data Weighted Training Strategies for Grammatical Error Correction — 2020
Developing NLP Tools with a New Corpus of Learner Spanish — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
ERRANT: Assessing and Improving Grammatical Error Type Classification — 2020 · Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Gender-Aware Reinflection using Linguistically Enhanced Neural Models — 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing
Generating Inflectional Errors for Grammatical Error Correction in Hindi — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Grammatical error detection in transcriptions of spoken English — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
PyMT5: multi-mode translation of natural language and Python code with transformers — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
The Teacher-Student Chatroom Corpus — 2020 · Linköping Electronic Conference Proceedings 175
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
An Analysis of Source-Side Grammatical Errors in NMT — 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Controlling Grammatical Error Correction Using Word Edit Rate — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Corpora Generation for Grammatical Error Correction — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Cross-Sentence Grammatical Error Correction — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses — 2019
Erroneous data generation for Grammatical Error Correction — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Learning to combine Grammatical Error Corrections — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Minimally-Augmented Grammatical Error Correction — 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
Neural and FST-based approaches to grammatical error correction — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
The AIP-Tohoku System at the BEA-2019 Shared Task — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
The BEA-2019 Shared Task on Grammatical Error Correction — our card · 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
The LAIX Systems in the BEA-2019 GEC Shared Task — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus — 2019 · arXiv:1907.09724
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction — 2018 · arXiv:1801.08831
A Reassessment of Reference-Based Grammatical Error Correction Metrics — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
An Annotated Corpus of Picture Stories Retold by Language Learners — 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
Automatic Metric Validation for Grammatical Error Correction — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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