—Most Web and legacy paper-based documents are available in human comprehensible text form, not readily accessible to or understood by computer programs. Here, we investigate an ...
Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-...
Optimal solutions to Markov Decision Problems (MDPs) are very sensitive with respect to the state transition probabilities. In many practical problems, the estimation of those pro...
Abstract. Concept lattices are used in formal concept analysis to represent data conceptually so that the original data are still recognizable. Their line diagrams should re ect th...
We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implement...
Pia-Ramona Wojtinnek, Brian Harrington, Sebastian ...