Evaluating complex Natural Language Processing (NLP) systems can prove extremely difficult. In many cases, the best one can do is to evaluate these systems indirectly, by looking ...
Lexical-semantic resources are used extensively for applied semantic inference, yet a clear quantitative picture of their current utility and limitations is largely missing. We pr...
Ontology as a discipline of Computer Science has made many claims about its usefulness, however to date there has been very little evaluation of those claims. We present the resul...
Christopher A. Welty, Ruchi Mahindru, Jennifer Chu...
To satisfy the advanced forward-error-correction (FEC) standards, in which the Convolutional code and Turbo code may co-exit, a prototype design of a unified Convolutional/Turbo de...
Model checking is the process of verifying whether a model of a concurrent system satisfies a specified temporal property. Symbolic algorithms based on Binary Decision Diagrams (BD...
Pankaj Chauhan, Edmund M. Clarke, Somesh Jha, Jame...