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Detecting Word Sense Disambiguation Biases in Machine Translation for
  Model-Agnostic Adversarial Attacks

Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks

3 November 2020
Denis Emelin
Ivan Titov
Rico Sennrich
    AAML
ArXiv (abs)PDFHTML

Papers citing "Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks"

3 / 3 papers shown
Title
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
130
91
0
14 Apr 2021
Token-Modification Adversarial Attacks for Natural Language Processing:
  A Survey
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Tom Roth
Yansong Gao
A. Abuadbba
Surya Nepal
Wei Liu
AAML
108
12
0
01 Mar 2021
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and
  their Consequences
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
Denis Emelin
Ronan Le Bras
Jena D. Hwang
Maxwell Forbes
Yejin Choi
LRM
118
135
0
31 Dec 2020
1