We study methods to initialize or bias different clustering methods using prior information about the "importance" of a keyword w.r.t. the whole document collection or a...
Acquisition of semantic information is necessary for proper understanding of natural language text. Such information is often domain-speclfic in nature and must be acquized from t...
The rapid growth of available data arises the need for more sophisticated techniques for semantic access to information. It has been proved that using conceptual model or ontology...
A great deal of information on the Web is represented in both textual and structured form. The structured form is machinereadable and can be used to augment the textual data. We c...
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...