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GEC-DePenD: Non-Autoregressive Grammatical Error Correction with
  Decoupled Permutation and Decoding

GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding

14 November 2023
Konstantin Yakovlev
Alexander Podolskiy
A. Bout
Sergey I. Nikolenko
Irina Piontkovskaya
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Papers citing "GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding"

5 / 5 papers shown
Title
Detection-Correction Structure via General Language Model for
  Grammatical Error Correction
Detection-Correction Structure via General Language Model for Grammatical Error Correction
Wei Li
Houfeng Wang
23
6
0
28 May 2024
Ungrammatical-syntax-based In-context Example Selection for Grammatical
  Error Correction
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
Chenming Tang
Fanyi Qu
Yunfang Wu
23
1
0
28 Mar 2024
Efficient Grammatical Error Correction Via Multi-Task Training and
  Optimized Training Schedule
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
A. Bout
Alexander Podolskiy
Sergey I. Nikolenko
Irina Piontkovskaya
20
7
0
20 Nov 2023
EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start
EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start
Jonathan Mallinson
Jakub Adamek
Eric Malmi
Aliaksei Severyn
KELM
83
42
0
24 May 2022
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,435
0
26 Sep 2016
1