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Mind Your Inflections! Improving NLP for Non-Standard Englishes with
  Base-Inflection Encoding

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding

30 April 2020
Samson Tan
Shafiq R. Joty
L. Varshney
Min-Yen Kan
ArXivPDFHTML

Papers citing "Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding"

13 / 13 papers shown
Title
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input
  Noises
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
Chenglei Si
Zhengyan Zhang
Yingfa Chen
Xiaozhi Wang
Zhiyuan Liu
Maosong Sun
AAML
26
1
0
14 Feb 2023
TCAB: A Large-Scale Text Classification Attack Benchmark
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
39
3
0
21 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the
  Research Paradigm in Adversarial NLP
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Fanchao Qi
Longtao Huang
Zhiyuan Liu
Maosong Sun
SILM
14
45
0
19 Oct 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
27
9
0
21 Jan 2022
Between words and characters: A Brief History of Open-Vocabulary
  Modeling and Tokenization in NLP
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke
Zaid Alyafeai
Elizabeth Salesky
Colin Raffel
Manan Dey
...
Arun Raja
Chenglei Si
Wilson Y. Lee
Benoît Sagot
Samson Tan
30
141
0
20 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
On Language Models for Creoles
On Language Models for Creoles
Heather Lent
Emanuele Bugliarello
Miryam de Lhoneux
Chen Qiu
Anders Søgaard
34
20
0
13 Sep 2021
Addressing the Vulnerability of NMT in Input Perturbations
Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu
A. Aw
Yang Ding
Kui Wu
Shafiq R. Joty
AAML
26
10
0
20 Apr 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Samson Tan
Shafiq R. Joty
AAML
29
35
0
17 Mar 2021
It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan
Shafiq R. Joty
Min-Yen Kan
R. Socher
166
103
0
09 May 2020
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
291
0
03 Sep 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,208
0
12 Jun 2017
1