In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
We are interested in questions of improving user control in bestmatch text-retrieval systems, specifically questions as to whether simple visualizations that nonetheless go beyond...
This paper presents a collaborative semantic tracking framework based on topic maps which aims to integrate and organize the data/information resources that spread throughout the I...
Digital watermarking is a promising technology to embed copyright information as unperceivable signals in digital contents. Although various watermarking techniques have been empl...
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...