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Oznake: computer science;web mining
Harvesting relational facts from Web sources has received great attention for automatically constructing large knowledge bases. Stateof-the-art approaches combine pattern-based gathering of fact candidates with constraint-based reasoning. However, they still face major challenges regarding the trade ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;information extraction;natural language processing;semantic web;text mining
Dynamic content is a frequently accessed part of the Web. However, most information extraction approaches are batch-oriented, thus not effective for gathering rapidly changing data. This paper proposes a model for fact extraction in real-time. Our model addresses the difficult challenges that timely ...
Leto: 2012 Vir: videolectures.net
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