This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Abstract: We introduce the notion of ∧- and ∨-pairs of functions on lattices as an abstraction of the notions of metric and its related entropy for probability distributions. T...
Given a binary relation IE ∪ IR on the set of ground terms e signature, we define an abstract rewrite closure for IE ∪ IR. act rewrite closure can be interpreted as a speciali...
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...
Abstract. This research aims at promoting sharing of knowledge about functionality of artifacts among engineers, which tends to be implicit in practice. In order to provide a conce...