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A little goes a long way: Improving toxic language classification
  despite data scarcity

A little goes a long way: Improving toxic language classification despite data scarcity

25 September 2020
Mika Juuti
Tommi Gröndahl
Adrian Flanagan
Nirmal Asokan
ArXivPDFHTML

Papers citing "A little goes a long way: Improving toxic language classification despite data scarcity"

6 / 6 papers shown
Title
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
Zheng Hui
Zhaoxiao Guo
Hang Zhao
Juanyong Duan
Congrui Huang
38
6
0
23 Sep 2024
Fairness-aware Class Imbalanced Learning
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian
Afshin Rahimi
Timothy Baldwin
Trevor Cohn
Lea Frermann
FaML
109
28
0
21 Sep 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
188
102
0
19 Sep 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
417
2,588
0
03 Sep 2019
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
6,746
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
1