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Linguistically Enhanced Clustering of Technical Publications

Organizing documents and performing search is a common but not a trivial task in information systems. With the increasing number of documents, it is becoming crucial to automate these processes. Clustering is a solution for organizing large amount of documents. In this article we propose a method of improving document retrieval that was implemented in RKB Knowledge Base. Our method heavily relies on linguistic analysis, which aims to identify document specific noun phrases. We apply an adjusted hierarchical clustering algorithm for learning clusters of documents.