In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
This paper aims to study how to gain the consistency of the state in a DVE (Distributed Virtual Environment) with lag, under the condition of peer-to-peer architecture. That is, w...
Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date...
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...