Grammatical error correction: A survey of the state of the art
Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …
correcting errors in text. The task not only includes the correction of grammatical errors, such …
Quantitative research methods and study quality in learner corpus research
This study aims to provide the first empirical assessment of quantitative research methods
and study quality in learner corpus research. We systematically review quantitative primary …
and study quality in learner corpus research. We systematically review quantitative primary …
Is chatgpt a highly fluent grammatical error correction system? a comprehensive evaluation
ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has
shown remarkable potential in various Natural Language Processing (NLP) tasks. However …
shown remarkable potential in various Natural Language Processing (NLP) tasks. However …
Towards a robust deep neural network against adversarial texts: A survey
Deep neural networks (DNNs) have achieved remarkable success in various tasks (eg,
image classification, speech recognition, and natural language processing (NLP)). However …
image classification, speech recognition, and natural language processing (NLP)). However …
Improving grammatical error correction with multimodal feature integration
Grammatical error correction (GEC) is a promising task aimed at correcting errors in a text.
Many methods have been proposed to facilitate this task with remarkable results. However …
Many methods have been proposed to facilitate this task with remarkable results. However …
Czech grammar error correction with a large and diverse corpus
We introduce a large and diverse Czech corpus annotated for grammatical error correction
(GEC) with the aim to contribute to the still scarce data resources in this domain for …
(GEC) with the aim to contribute to the still scarce data resources in this domain for …
Grammatical error correction in low-resource scenarios
Grammatical error correction in English is a long studied problem with many existing
systems and datasets. However, there has been only a limited research on error correction …
systems and datasets. However, there has been only a limited research on error correction …
Stronger baselines for grammatical error correction using a pretrained encoder-decoder model
勝又智 - 自然言語処理, 2021 - jstage.jst.go.jp
本記事では, 私が東京都立大学小町研究室に在籍時に取り組み, AACL2020 に採択された標題の
ショート論文について解説を行います. 一般的な論文解説記事とは異なり, 本記事ではどのようにし …
ショート論文について解説を行います. 一般的な論文解説記事とは異なり, 本記事ではどのようにし …
Using Wikipedia edits in low resource grammatical error correction
A Boyd - Proceedings of the 2018 EMNLP Workshop W-NUT …, 2018 - aclanthology.org
We develop a grammatical error correction (GEC) system for German using a small gold
GEC corpus augmented with edits extracted from Wikipedia revision history. We extend the …
GEC corpus augmented with edits extracted from Wikipedia revision history. We extend the …
Towards a robust deep neural network in texts: A survey
Deep neural networks (DNNs) have achieved remarkable success in various tasks (eg,
image classification, speech recognition, and natural language processing (NLP)). However …
image classification, speech recognition, and natural language processing (NLP)). However …