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When a semantic network is based on triples relating terms, ambiguity arises as a problem, so we have used these triples to identify clusters, which can be seen as synsets. We report the results of this approach on a synonymy network extracted from a dictionary and additional tests involving manually created thesaurus. Part of the resulting synsets were also evaluated by human subjects.
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