27 citations · 66 across the 11 of their papers we have counts for
6 papers · 2 filters
Exploring and Analyzing Machine Commonsense Benchmarks
Henrique Santos, Minor Gordon, Zhicheng Liang +2
Commonsense question-answering (QA) tasks, in the form of benchmarks, are constantly being introduced for challenging and comparing commonsense QA systems. The benchmarks provide q…
A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation
H. Santos, A. Mulvehill, J. S. Erickson +11
Because radio spectrum is a finite resource, its usage and sharing is regulated by government agencies. These agencies define policies to manage spectrum allocation and assignment…
Explanation Ontology: A Model of Explanations for User-Centered AI
Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen +3
Explainability has been a goal for Artificial Intelligence (AI) systems since their conception, with the need for explainability growing as more complex AI models are increasingly…
Explanation Ontology in Action: A Clinical Use-Case
Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen +3
We addressed the problem of a lack of semantic representation for user-centric explanations and different explanation types in our Explanation Ontology (https://purl.org/heals/eo).…
Directions for Explainable Knowledge-Enabled Systems
Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne +1
Interest in the field of Explainable Artificial Intelligence has been growing for decades and has accelerated recently. As Artificial Intelligence models have become more complex,…
Foundations of Explainable Knowledge-Enabled Systems
Shruthi Chari, Daniel M. Gruen, Oshani Seneviratne +1
Explainability has been an important goal since the early days of Artificial Intelligence. Several approaches for producing explanations have been developed. However, many of these…