Abstract. Automatic Document summarization is proving to be an increasingly important task to overcome the information overload. The primary task of document summarization process ...
Explanations are a technique for reasoning about constraint propagation, which have been applied in many learning, backjumping and user-interaction algorithms for constraint progra...
Reconfigurable systems are widely used nowadays to increase performance of computationally intensive applications. There exist a lot of synthesis tools that automatically generate...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Combining information extraction systems yields significantly higher quality resources than each system in isolation. In this paper, we generalize such a mixing of sources and fea...