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We present an unsupervised method for inducing verb classes from verb uses in gigaword corpora. Our method consists of two clustering steps: verb-specific semantic frames are first induced by clustering verb uses in a corpus and then verb classes are induced by clustering these frames. By taking this step-wise approach, we can not only generate verb classes based on a massive amount of verb uses in a scalable manner, but also deal with verb polysemy, which is bypassed by most of the previousdoi:10.3115/v1/p14-1097 dblp:conf/acl/KawaharaPP14 fatcat:h5gjy2uupnakffip3e7pkbpqni