This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
This paper addresses one of the major problems of SOA software development: the lack of support for testing complex service-oriented systems. The research community has developed v...
Abstract--Most work on adaptive workflows offers insufficient flexibility to enforce complex policies regarding dynamic, evolvable and robust workflows. In addition, many proposed ...
Deriving products from a software product line is difficult, particularly when there are many constraints in the variability of the product line. Understanding the impact of variab...
In the field of Natural Language Processing, in order to work out a thematic representation system of general knowledge, methods relying on thesaurus have been used for about twen...