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Model interpretability methods are often used to explain NLP model decisions on tasks such as text classification, where the output space is relatively small.
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The Pile: An 800gb dataset of diverse text for language modeling
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When does translation require context? a data-driven, multilingual exploration
Kayo Yin, Patrick Fernandes, André F. T. Martins, and Graham Neubig. 2021a
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Do context-aware translation models pay the right attention?
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A survey of contrastive and counterfactual explanation generation methods for explainable artificial intelligence
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