Automatically extracting keyphrases from documents is a task with many applications in information retrieval and natural language processing. Document retrieval can be biased towar...
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
We present a new software technology for on-line performance analysis and visualization of complex parallel and distributed systems. Often heterogeneous, these systems need capabi...
Aleksandar M. Bakic, Matt W. Mutka, Diane T. Rover
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...