We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
We present a comprehensive model for quantitative evaluation and comparison of search engines. The model is based on the LSP method for system evaluation. The basic contribution of...
provides a powerful abstraction basically allowing to perceiving all compute resources as entities that can be dynamically discovered and composed. These entities are called servic...
New information is obtained by research and disseminated by papers in conferences and journals. The synthesis of knowledge depends upon social discourse among the experts in a give...
Feature models are widely employed in domainspecific software development to specify the domain requirements with commonality and variability. A feature model is usually construct...