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Robust Multilingual Part-of-Speech Tagging via Adversarial Training

Robust Multilingual Part-of-Speech Tagging via Adversarial Training

14 November 2017
Michihiro Yasunaga
Jungo Kasai
Dragomir R. Radev
ArXivPDFHTML

Papers citing "Robust Multilingual Part-of-Speech Tagging via Adversarial Training"

13 / 13 papers shown
Title
GradSim: Gradient-Based Language Grouping for Effective Multilingual
  Training
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training
Mingyang Wang
Heike Adel
Lukas Lange
Jannik Strötgen
Hinrich Schütze
27
3
0
23 Oct 2023
Zero-shot Transfer of Article-aware Legal Outcome Classification for
  European Court of Human Rights Cases
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases
Santosh T.Y.S.S
O. Ichim
Matthias Grabmair
AILaw
24
17
0
01 Feb 2023
Generative Adversarial Training Can Improve Neural Language Models
Generative Adversarial Training Can Improve Neural Language Models
Sajad Movahedi
A. Shakery
GAN
AI4CE
28
2
0
02 Nov 2022
Conformal prediction for text infilling and part-of-speech prediction
Conformal prediction for text infilling and part-of-speech prediction
N. Dey
Jing Ding
Jack G. Ferrell
Carolina Kapper
Maxwell Lovig
Emiliano Planchon
Jonathan P. Williams
UQLM
21
19
0
04 Nov 2021
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
26
4
0
31 Aug 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual
  Adversarial Training
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training
Shunsuke Kitada
Hitoshi Iyatomi
AAML
20
8
0
18 Apr 2021
A Survey on Recent Advances in Sequence Labeling from Deep Learning
  Models
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models
Zhiyong He
Zanbo Wang
Wei Wei
Shanshan Feng
Xian-Ling Mao
Sheng Jiang
VLM
36
28
0
13 Nov 2020
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CE
VLM
83
215
0
02 Mar 2020
Improving Machine Reading Comprehension via Adversarial Training
Improving Machine Reading Comprehension via Adversarial Training
Ziqing Yang
Yiming Cui
Wanxiang Che
Ting Liu
Shijin Wang
Guoping Hu
27
17
0
09 Nov 2019
Sequence Tagging with Contextual and Non-Contextual Subword
  Representations: A Multilingual Evaluation
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
Benjamin Heinzerling
Michael Strube
6
36
0
04 Jun 2019
Linguistic Knowledge and Transferability of Contextual Representations
Linguistic Knowledge and Transferability of Contextual Representations
Nelson F. Liu
Matt Gardner
Yonatan Belinkov
Matthew E. Peters
Noah A. Smith
52
717
0
21 Mar 2019
Adversarial Attacks on Deep Learning Models in Natural Language
  Processing: A Survey
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
24
57
0
21 Jan 2019
Contextualized Non-local Neural Networks for Sequence Learning
Contextualized Non-local Neural Networks for Sequence Learning
Pengfei Liu
Shuaichen Chang
Xuanjing Huang
Jian Tang
Jackie C.K. Cheung
22
47
0
21 Nov 2018
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