A Cross-Comparison Of Two Clustering Methods

Abstract

Many Natural Language Processing applications require semantic knowledge about topics in order to be possible or to be efficient. So we developed a system, SEGAPSITH, that acquires it automatically from text segments by using an unsupervised and incremental clustering method. In such an approach, an important problem consists of the validation of the… (More)

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