: The aims of this paper are twofold. Our first aim is to compare results of the earlier Terabyte tracks to the Million Query track. We submitted a number of runs using different ...
The paper develops a novel computational framework for predicting communication flow in social networks based on several contextual features. The problem is important because pred...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
In this paper, we address both standard and focused retrieval tasks based on comprehensible language models and interactive query expansion (IQE). Query topics are expanded using a...
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...