The ability to distinguish statistically different populations of speakers or writers can be an important asset in many NLP applications. In this paper, we describe a method of us...
E-learning by doing is an important e-learning process, that provides several advantages but that requires a high interactivity degree, not always supported in e-learning contexts...
This article shows growing popularity of knowledge-based economy and turns attention to the role of knowledge as an important factor of competitive struggle. It presents results o...
We prove an upper bound on the convergence rate of Markov Chain Monte Carlo (MCMC) algorithms for the important special case when the state space can be aggregated into a smaller ...
We present an empirically grounded method for evaluating content selection in summarization. It incorporates the idea that no single best model summary for a collection of documen...