Chinese Grammatical Error Correction (CGEC) is both a challenging NLP task and a
common application in human daily life. Recently, many data-driven approaches are …

Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input text,
which benefits human's daily life and various downstream tasks. Recent approaches mainly …

Grammatical Error Correction (GEC) aims to automatically detect and correct grammatical
errors. In this aspect, dominant models are trained by one-iteration learning while …

Remote pair programming encapsulates the benefits of well-researched (co-located) pair
programming. However, its effectiveness is hindered by challenges including pair …

In a spoken dialogue system, an NLU model is preceded by a speech recognition system
that can deteriorate the performance of natural language understanding. This paper …

This paper describes a challenge on Conversational AI correctness with the goal to develop
Natural Language Understanding models that are robust against speech recognition errors …

Abstract Grammatical Error Correction (GEC) aims to correct grammatical errors in
sentences. We find that autoregressive models tend to assign low probabilities to tokens that …

Abstract Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input
text, which benefits human daily life and various downstream tasks. With the extensive …

Thanks to the strong representation capability of the pre-trained language models,
supervised grammatical error correction has achieved promising performance. However …

Deep learning has shown remarkable effectiveness in various language tasks. This paper
presents Huawei Translation Services Center's (HW-TSC's) work called HWCGEC which get …