Multi-document summarization is of great value to many real world applications since it can help people get the main ideas within a short time. In this paper, we tackle the proble...
Model counting is the problem of computing the number of models that satisfy a given propositional theory. It has recently been applied to solving inference tasks in probabilistic...
Rehan Abdul Aziz, Geoffrey Chu, Christian J. Muise...
Sentiment analysis predicts a one-dimensional quantity describing the positive or negative emotion of an author. Mood analysis extends the one-dimensional sentiment response to a ...
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun P...
Discovery of communities in networks is a fundamental data analysis problem. Most of the existing approaches have focused on discovering communities of nodes, while recent studies...
Datalog-based systems often materialise all consequences of a datalog program and the data, allowing users’ queries to be evaluated directly in the materialisation. This process...
Boris Motik, Yavor Nenov, Robert Edgar Felix Piro,...
Within characteristic function games, agents have the option of joining one of many different coalitions, based on the utility value of each candidate coalition. However, determin...
Luke Riley, Katie Atkinson, Paul E. Dunne, Terry R...
Innovative methods have been developed for diagnosis, activity monitoring, and state estimation that achieve high accuracy through the use of stochastic models involving hybrid di...
We propose a simple multi-pass sieve framework that applies tiers of deterministic normalization modules one at a time from highest to lowest precision for the task of normalizing...
Effective tutoring requires personalization of the interaction to each student. Continuous and efficient assessment of the student’s skills are a prerequisite for such personal...