Learning Explanations from Language Data
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Abstract (arXiv)
PatternAttribution is a recent method, introduced in the vision domain, that explains classifications of deep neural networks. We demonstrate that it also generates meaningful interpretations in the language domain.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 13 Aug 2018.
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