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Rationalization for explainable NLP: a survey

Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. Black-box models make it difficult to understand th...

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Hauptverfasser: Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Feras A. Batarseh
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-09-01
Schriftenreihe:Frontiers in Artificial Intelligence
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Online-Zugang:https://www.frontiersin.org/articles/10.3389/frai.2023.1225093/full
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