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 …

Grammatical error correction (GEC) is an important application aspect of natural language
processing techniques, and GEC system is a kind of very important intelligent system that …

GPT-3 and GPT-4 models are powerful, achieving high performance on a variety of Natural
Language Processing tasks. However, there is a relative lack of detailed published analysis …

This work proposes a syntax-enhanced grammatical error correction (GEC) approach
named SynGEC that effectively incorporates dependency syntactic information into the …

Grammatical error correction (GEC) can be divided into sequence-to-edit (Seq2Edit) and
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …

Detecting and fixing bugs are two of the most important yet frustrating parts of the software
development cycle. Existing bug detection tools are based mainly on static analyzers, which …

In this paper, we propose Shallow Aggressive Decoding (SAD) to improve the online
inference efficiency of the Transformer for instantaneous Grammatical Error Correction …

In this paper, we investigate improvements to the GEC sequence tagging architecture with a
focus on ensembling of recent cutting-edge Transformer-based encoders in Large …

Metrics are the foundation for automatic evaluation in grammatical error correction (GEC),
with their evaluation of the metrics (meta-evaluation) relying on their correlation with human …

In this paper, we formulate system combination for grammatical error correction (GEC) as a
simple machine learning task: binary classification. We demonstrate that with the right …