Written opinion on products and other entities can be important to consumers and researchers, but expensive and difficult to analyze. We present a multimedia interface designed t...
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...
Work on the production of texts in English describing instances of a particular event type from multiple news sources will be described. A system has been developed which extracts...
James R. Cowie, Yevgeny Ludovik, Hugo Molina-Salga...
Displaying and navigating information on a large screen can be a challenge and has resulted in a variety of techniques such as text summarization and fisheye. An additional challe...
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...