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cs.AI2021
Knowledge-intensive Language Understanding for Explainable AI
Amit Sheth, Manas Gaur, Kaushik Roy +1
AI systems have seen significant adoption in various domains. At the same time, further adoption in some domains is hindered by inability to fully trust an AI system that it will n…
cs.AI2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur, Keyur Faldu, Amit Sheth
The recent series of innovations in deep learning (DL) have shown enormous potential to impact individuals and society, both positively and negatively. The DL models utilizing mass…