This paper uses human verb associations as the basis for an investigation of verb properties, focusing on semantic verb re- lations and prominent nominal features. First, the lexical semantic taxonymy Ger- maNet is checked on the types of clas- sic semantic relations in our data; verb- verb pairs not covered by GermaNet can help to detect missing links in the tax- onomy, and provide a useful basis for defining non-classical relations. Second, a statistical grammar is used for determin- ing the conceptual roles of the noun re- sponses. We present prominent syntax- semantic roles and evidence for the useful- ness of co-occurrence information in dis- tributional verb descriptions.

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