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Found 5 papers, 1 papers with code
Overview of NLPTEA-2020 Shared Task for Chinese Grammatical Error Diagnosis
This paper presents the NLPTEA 2020 shared task for Chinese Grammatical Error Diagnosis (CGED) which seeks to identify grammatical error types, their range of occurrence and recommended corrections within sentences written by learners of Chinese as a foreign language.
NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models
We present four versions of the NASH strategy in this paper, all of which show higher accuracy than the original models.
Overview of NLPTEA-2018 Share Task Chinese Grammatical Error Diagnosis
This paper presents the NLPTEA 2018 shared task for Chinese Grammatical Error Diagnosis (CGED) which seeks to identify grammatical error types, their range of occurrence and recommended corrections within sentences written by learners of Chinese as foreign language.
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis
This paper presents the IJCNLP 2017 shared task for Chinese grammatical error diagnosis (CGED) which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese as foreign language.
Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis
This paper presents the NLP-TEA 2016 shared task for Chinese grammatical error diagnosis which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese as foreign language.
