This paper presents a corpus-based method for extract- ing semantic relations between words. The method is based on two sequential procedures. First, it automatically classiﬁes syntactic dependencies according to their selection restrictions. Those dependen- cies that require the same selection restrictions are put together into the same semantic group. Then, interpretation rules are applied on the classiﬁed syntactic dependencies, in order to learn the speciﬁc semantic relations underlying syntactically related words.
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