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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
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A SurveyJournal of Artificial Intelligence Research (JAIR), 2021
Danielle Saunders
AI4CE
432
112
0
14 Apr 2021
Token-Modification Adversarial Attacks for Natural Language Processing:
  A Survey
Token-Modification Adversarial Attacks for Natural Language Processing: A SurveyAI Communications (AI Commun.), 2021
Tom Roth
Yansong Gao
A. Abuadbba
Surya Nepal
Wei Liu
AAML
305
21
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 ConsequencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Denis Emelin
Ronan Le Bras
Jena D. Hwang
Maxwell Forbes
Yejin Choi
LRM
457
164
0
31 Dec 2020
1
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