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Lecture Notes in Computer Science
In this paper we present a method for the automatic term clustering. The method uses a hybrid similarity measure to cluster terms automatically extracted from a corpus by applying the C/NC value method. The measure comprises contextual, functional and lexical similarity, and it is used to instantiate the cell values in a similarity matrix. The clustering algorithm uses either the nearest neighbour or the Ward's method to calculate the distance between clusters. The approach has been tested anddoi:10.1007/3-540-46154-x_20 fatcat:o7yphqivivc37ekkn5knyevvse