This paper presents new Information Extraction scenarios which are linguistically and structurally more challenging than the traditional MUC scenarios. Traditional views on event ...
Abstract Homepages usually describe important semantic information about conceptual or physical entities, and are hence the main targets for searching and browsing. To facilitate s...
Today, companies and their information systems are facing a very dynamic and fast changing environment. Fast changing demands require varying information in varying places. Users ...
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...
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...