: Vocabulario de PLN: TextAttack

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TextAttack

TextAttack aims to implement attacks which given an NLP model find a perturbation of an input sequence that satisfies the attack's goal and adheres to certain linguistic constraints. (Morris, Lifland, Yoo, Grigsby, Jin & Qi, 2020)
TextAttack also allows users to provide their own models and datasets. (Morris, Lifland, Yoo, Grigsby, Jin & Qi, 2020)
TextAttack also includes data augmentation and adversarial training modules for using components of adversarial attacks to improve model accuracy and robustness. (Morris, Lifland, Yoo, Grigsby, Jin & Qi, 2020)
TextAttack defines an attack in four modules: a goal function a list of constraints a transformation and a search method. (Morris, Lifland, Yoo, Grigsby, Jin & Qi, 2020)

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