Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...
Abstract. In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic ...
To ensure access to growing video collections, annotation is becoming more and more important. Using background knowledge in the form of ontologies or thesauri is a way to facilit...
Computer-generated texts are yet far from human-generated ones. Along with the limited use of vocabulary and syntactic structures sent, their lack of creativeness and abstraction i...
We study the generative development of control programs for families of embedded devices. A software family is described by a single common model and restriction specifications for...