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Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
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John Wieting
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Kevin Gimpel
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Luke Zettlemoyer
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
NAACL |
Citations
URL
Generating Syntactic Paraphrases
Emilie Colin
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Claire Gardent
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Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
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Eric Wallace
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Alvin Grissom II
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Mohit Iyyer
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Pedro Rodriguez
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Jordan Boyd-Graber
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Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
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Xin Jiang
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Lifeng Shang
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Hang Li
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Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
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Sebastian Riedel
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Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
Tong Niu
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Mohit Bansal
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting
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Kevin Gimpel
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Semantically Equivalent Adversarial Rules for Debugging NLP models
Marco Tulio Ribeiro
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Sameer Singh
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Carlos Guestrin
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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Eduard Hovy
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Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Eric Wallace
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Jordan Boyd-Graber
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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https://github.com/miyyer/scpn
Field Of Study
Linguistic Trends
Syntax
Task
Textual Entailment
Sentiment Analysis
Language Generation
Machine Translation
Paraphrasing
Approach
Deep Learning
Language
English
Dataset
News
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