Abstract
In this paper, we present an overview of the Grammatical Error Correction task in the NLPCC 2018 shared tasks. We give detailed descriptions of the task definition and the data for training as well as evaluation. We also summarize the approaches investigated by the participants of this task. Such approaches demonstrate the state-of-the-art of Grammatical Error Correction for Mandarin Chinese. The data set and evaluation tool used by this task is available at https://github.com/zhaoyyoo/NLPCC2018_GEC.
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Acknowledgement
This work was supported by National Natural Science Foundation of China (61772036, 61331011) and Key Laboratory of Science, Technology and Standard in Press Industry (Key Laboratory of Intelligent Press Media Technology). We thank the Department of Chinese Language and Literature, Peking University for providing the original inputs of the test data. Weiwei Sun is the corresponding author.
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Zhao, Y., Jiang, N., Sun, W., Wan, X. (2018). Overview of the NLPCC 2018 Shared Task: Grammatical Error Correction. In: Zhang, M., Ng, V., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2018. Lecture Notes in Computer Science(), vol 11109. Springer, Cham. https://doi.org/10.1007/978-3-319-99501-4_41
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DOI: https://doi.org/10.1007/978-3-319-99501-4_41
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