中校三组汉语语法错误诊断系统在NLPTEA-2018 CGED共享任务中的报告

NLP-TEA@ACL Pub Date : 2018-07-01 DOI:10.18653/v1/W18-3729
Shih-Hung Wu, Jun-Wei Wang, Liang-Pu Chen, Ping-Che Yang
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引用次数: 9

摘要

本文报道了我们如何在NLPTEA-2018 CGED共享任务中构建汉语语法错误诊断系统。2018年,我们用三种不同的方法进行了三次测试。第一种是基于模式的方法,通过频繁的错误模式匹配。第二种是通过条件随机场(CRF)的顺序标记方法。第三种是序列到序列(seq2seq)模型的重写方法。这三种方法具有不同的属性,旨在优化不同的性能指标,正式运行结果显示了我们预期的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task
This paper reports how we build a Chinese Grammatical Error Diagnosis system in the NLPTEA-2018 CGED shared task. In 2018, we sent three runs with three different approaches. The first one is a pattern-based approach by frequent error pattern matching. The second one is a sequential labelling approach by conditional random fields (CRF). The third one is a rewriting approach by sequence to sequence (seq2seq) model. The three approaches have different properties that aim to optimize different performance metrics and the formal run results show the differences as we expected.
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