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Deriving concept hierarchies from text
1999
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99
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 techniques. Instead, salient words and phrases extracted from the documents are organized hierarchically using a type of co-occurrence known as subsumption. The resulting structure is displayed as a series of hierarchical menus. When generated from a set of retrieved documents, a user browsing the menus is provided with a
doi:10.1145/312624.312679
dblp:conf/sigir/SandersonC99
fatcat:qtkwr3rsybfr7ek2bwsmkvqtnq