Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
Stellar aggregates and correlates alerts from heterogeneous network defense systems, building scenarios and estimating the security risk of the entire scenario. Prior work conside...
There is an increasing need within the Navy and Marine Corps for building distributed situation-aware applications that are rapidly recon gurable and survivable in the face of att...
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Abstract. Many distributed applications can be understood in terms of components interacting in an open environment. This interaction is not always uniform as the network may consi...