2018. Semantically Equivalent Adversarial Rules for Debugging NLP models. In Proceedings of the 56th Annual Meeting of the Association for Computational ...

Complex machine learning models for NLP are often brittle, making different predic- tions for input instances that are extremely similar semantically.

Feb 19, 2019 · "Semantically equivalent adversarial rules for debugging nlp models." Proceedings of the 56th Annual Meeting of the Association for ...

Request PDF | On Jan 1, 2018, Marco Tulio Ribeiro and others published Semantically Equivalent Adversarial Rules for Debugging NLP models | Find, read and ...

Code for Semantically Equivalent Adversarial Rules for Debugging NLP Models. Installation Run the following:

Semantically Equivalent Adversarial Rules for Debugging NLP models · Figures · Topics · 464 Citations · 27 References · Related Papers ...

Aug 20, 2018 · Semantically Equivalent Adversarial Rules for Debugging NLP models · from ACL · Add ...
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Oct 12, 2018 · Semantically Equivalent Adversarial Rules for Debugging NLP Models. Association for Computational Linguistics (ACL), 2018. https ...

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Semantically Equivalent Adversarial Rules for Debugging NLP models · 1 code implementation • ACL 2018 • Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin.