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第4篇文献:《Deep Context Model for Grammatical Error Correction》
基于RNN,将纠错视为分类问题,无需特征工程,在CoNLL-2014上达到SOTA
GEC常用的任务有:HOO和CoNLL
使用的方法常基于三种:
本文方法:
The text was updated successfully, but these errors were encountered:
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文献阅读
GEC的深度上下文模型
摘要
基于RNN,将纠错视为分类问题,无需特征工程,在CoNLL-2014上达到SOTA
1. 介绍
GEC常用的任务有:HOO和CoNLL
使用的方法常基于三种:
本文方法:
2. 模型
3. 实验
4. 总结与将来工作
The text was updated successfully, but these errors were encountered: