POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
Aspect-oriented software presents new challenges for the designers of static analyses. Our work aims to establish systematic foundations for dataflow analysis of AspectJ software....
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Distributed stream query services must simultaneously process a large number of complex, continuous queries with stringent performance requirements while utilizing distributed pro...
Sangeetha Seshadri, Bhuvan Bamba, Brian F. Cooper,...
Abstract. We introduce a logical framework suitable to formalize structures of epistemic agents. Such a framework is based on the notion of weighted directed acyclic graphs (WDAGs)...