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Lecture Notes in Computer Science
Azarbonyad, H.; Dehghani, M.; Kenter, T.M.; Marx, M.J.; Kamps, J.; de Rijke, M. Abstract. A high degree of topical diversity is often considered to be an important characteristic of interesting text documents. A recent proposal for measuring topical diversity identifies three elements for assessing diversity: words, topics, and documents as collections of words. Topic models play a central role in this approach. Using standard topic models for measuring diversity of documents is suboptimal duedoi:10.1007/978-3-319-56608-5_6 fatcat:xu7xbtl25nedbk55bdcc6kvroa