The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
Position information has been proved to be very effective in document summarization, especially in generic summarization. Existing approaches mostly consider the information of se...
In this paper we introduce GMD, an abstract but rich data model for representing multidimensional information, equipped with logicbased semantics and seamlessly integrated with a f...
Geographical context is required of many information retrieval tasks in which the target of the search may be documents, images or records which are referenced to geographical spac...
Christopher B. Jones, Harith Alani, Douglas Tudhop...