A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by some feature of the corpus, in particular, the notion of text `dom...
Distributed shared memory (DSM) is a paradigm for programming distributed systems, which provides an alternative to the message passing model. DSM offers the agents of the system ...
The Distributed Information Search COmponent (Disco) is a prototype heterogeneous distributed database that accesses underlying data sources. The Disco prototype currently focuses...
Heterogeneous users usually have different requirements as far as consistency of shared data is concerned. This paper proposes and investigates a mixed consistency model to meet t...
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...