This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
Clustering hypertext document collection is an important task in Information Retrieval. Most clustering methods are based on document content and do not take into account the hype...
Konstantin Avrachenkov, Vladimir Dobrynin, Danil N...
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...
In previous research it has been shown that link-based web page metrics can be used to predict experts’ assessment of quality. We are interested in a related question: do expert...
In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the...