Training resources and e-Government services for rural SMEs : the rural inclusion platform

Rural Inclusion, a project supported by the Information and Communication Technologies Policy Support Programme of the European Commission, aims to adopt, adapt, and deploy a Web infrastructure, in rural settings, combining semantics with a collaborative training and networking approach, offering e-Government services that will be supported by a rigorous and reusable service process analysis and modeling, and facilitating the disambiguation of the small businesses needs and requirements when trying to carry out the particular transactions. This paper, presents an overview of the architecture of RuralObservatory2.0 which will play the critical role of training content and eGovernment services repository of the overall Rural Inclusion platform.</jats:p

Learning to resolve bridging references

We use machine learning techniques to find the best combination of local focus and lexical distance features for identifying the anchor of mereological bridging references. We find that using first mention, utterance distance, and lexical distance computed using either Google or WordNet results in an accuracy significantly higher than obtained in previous experiments