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A Simple but Effective Classification Model for Grammatical Error
  Correction

A Simple but Effective Classification Model for Grammatical Error Correction

2 July 2018
Zhu Kaili
Chuan Wang
Ruobing Li
Yang Liu
Tianlei Hu
Hui-Ching Lin
ArXiv (abs)PDFHTML

Papers citing "A Simple but Effective Classification Model for Grammatical Error Correction"

5 / 5 papers shown
Title
A Multilayer Convolutional Encoder-Decoder Neural Network for
  Grammatical Error Correction
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Shamil Chollampatt
Hwee Tou Ng
KELM
61
222
0
26 Jan 2018
A Nested Attention Neural Hybrid Model for Grammatical Error Correction
A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Jianshu Ji
Qinlong Wang
Kristina Toutanova
Yongen Gong
Steven QH Truong
Jianfeng Gao
73
110
0
07 Jul 2017
Phrase-based Machine Translation is State-of-the-Art for Automatic
  Grammatical Error Correction
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
Marcin Junczys-Dowmunt
Roman Grundkiewicz
MoE
66
103
0
20 May 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
268
6,791
0
03 Sep 2014
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