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Auxiliary Objectives for Neural Error Detection Models

Auxiliary Objectives for Neural Error Detection Models

17 July 2017
Marek Rei
H. Yannakoudakis
ArXiv (abs)PDFHTML

Papers citing "Auxiliary Objectives for Neural Error Detection Models"

9 / 9 papers shown
Title
Grammatical Error Correction: A Survey of the State of the Art
Grammatical Error Correction: A Survey of the State of the Art
Christopher Bryant
Zheng Yuan
Muhammad Reza Qorib
Hannan Cao
Hwee Tou Ng
Ted Briscoe
3DV
87
87
0
09 Nov 2022
Exploring the Capacity of a Large-scale Masked Language Model to
  Recognize Grammatical Errors
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
Ryo Nagata
Manabu Kimura
Kazuaki Hanawa
20
5
0
27 Aug 2021
Improving the Efficiency of Grammatical Error Correction with Erroneous
  Span Detection and Correction
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
M. Chen
Tao Ge
Xingxing Zhang
Furu Wei
M. Zhou
87
47
0
07 Oct 2020
Learning a Simple and Effective Model for Multi-turn Response Generation
  with Auxiliary Tasks
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
Yufan Zhao
Can Xu
Wei Wu
Lei Yu
79
28
0
04 Apr 2020
Multi-Task Learning for Coherence Modeling
Multi-Task Learning for Coherence Modeling
Youmna Farag
H. Yannakoudakis
49
25
0
04 Jul 2019
Context is Key: Grammatical Error Detection with Contextual Word
  Representations
Context is Key: Grammatical Error Detection with Contextual Word Representations
Samuel J. Bell
H. Yannakoudakis
Marek Rei
65
43
0
15 Jun 2019
Pretraining Methods for Dialog Context Representation Learning
Pretraining Methods for Dialog Context Representation Learning
Shikib Mehri
E. Razumovskaia
Tiancheng Zhao
M. Eskénazi
115
84
0
02 Jun 2019
Multi-task Learning for Chinese Word Usage Errors Detection
Multi-task Learning for Chinese Word Usage Errors Detection
Jinbin Zhang
Heng Wang
53
1
0
03 Apr 2019
Numeracy for Language Models: Evaluating and Improving their Ability to
  Predict Numbers
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
Georgios P. Spithourakis
Sebastian Riedel
66
83
0
21 May 2018
1