Our participation in TREC 2004 aims to extend and improve the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) for the robust track. We experiment with...
The main focus of this work is to investigate robust ways for generating summaries from summary representations without recurring to simple sentence extraction and aiming at more ...
Josef Steinberger, Marco Turchi, Mijail Alexandrov...
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
Abstract. Firms’ conjectures about demand are consequential in oligopoly games. Through agent-based modeling of consumers’ search for products, we can study the rationing of de...
We introduce a new approach to the problem of collision detection between a rotating milling-cutter of an NC-machine and a model of a solid workpiece, as the rotating cutter conti...
Ron Wein, Oleg Ilushin, Gershon Elber, Dan Halperi...