As natural language understanding research advances towards deeper knowledge modeling, the tasks become more and more complex: we are interested in more nuanced word characteristi...
Radu Florian, Hongyan Jing, Nanda Kambhatla, Imed ...
Model driven development suggests to make models the main artifact in software development. To get executable models in most cases code generation to a "traditional" prog...
Manuel Bork, Leif Geiger, Christian Schneider, Alb...
In this paper we look at the problem of interoperability of digital rights management (DRM) systems in home networks. We introduce an intermediate module called the Domain Interop...
User preferences for automated assistance often vary widely, depending on the situation, and quality or presentation of help. Developing effective models to learn individual prefe...
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...