The goal of the work described in this paper is to design and build a scalable infrastructure for executing grid applications on a widely distributed set of resources. Such grid i...
Jik-Soo Kim, Beomseok Nam, Michael A. Marsh, Peter...
Although Microsoft Windows is being deployed in mission-critical applications, little quantitative data has been published about its robustness. We present the results of executin...
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Abstract. The paper features MAVE, a knowledge-based system for answer validation through deep linguistic processing and logical inference. A relaxation loop is used to determine a...
This paper focuses on a grammar-based approach to semantic interpretation, which combines the notions of robust and weighted parsing. In restricted domains of application in infor...