On guaranteed optimal robust explanations for NLP models

On guaranteed optimal robust explanations for NLP models

We build on abduction-based explanations for machine learning and develop a method for computing local explanations for neural network models in natural language processing (NLP). Our explanations comprise a subset of the words of the input text that satisfies two key features: optimality w.r.t. a u...

Полное описание

Библиографические подробности
Главные авторы:	La Malfa, E, Michelmore, R, Zbrzezny, AM, Paoletti, N, Kwiatkowska, M
Формат:	Conference item
Язык:	English
Опубликовано:	International Joint Conferences on Artificial Intelligence 2021

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