We present an algorithm for generating referring expressions in open domains. Existing algorithms work at the semantic level and assume the availability of a classification for at...
We first show how a structural locality bias can improve the accuracy of state-of-the-art dependency grammar induction models trained by EM from unannotated examples (Klein and Ma...
We consider a video streaming application over P2P networks and introduce the P2P on-line server selection problem. This task is related to the classic K-server problem, known fro...
Systems often exhibit hierarchical structures and multiple levels of abstraction, and MultiAgent Systems, even if they have proved their adequacy to model such systems, mains in t...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...
In this paper, we evaluate the use of implicit interest indicators as the basis for user profiling in the Digital TV domain. Research in more traditional domains, such as Web brow...