Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
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, ...
In this paper, we describe two mission critical applications currently deployed by Telecom Italia in the Operations Support System domains. The first one called "Network Neut...
Data-flow analysis is an integral part of any aggressive optimizing compiler. We propose a framework for improving the precision of data-flow analysis in the presence of complex c...
Data-driven array architectures seem to be important alternatives for coarse-grained reconfigurable computing platforms. Their use has provided performance improvements over micro...