We a, ui;omatically cla,ssi(y verbs into lexica,1 se- mantic classes, 1)ased on distributions of indices- tots of verb a.lterna.tions, extra.cCed froln a very la.rge a.nnota.ted corpus. We ~ddress a. prol)lem which is pa.rticuhtrly difficult 1)eca.use the verl) classes, a.lthough sema.ntica.lly different, show sim- ila.r surface syntactic 1)eha.vior, Five gra.m,na.tica.1 fea.l;tlres ~u:e su[[icient to reduce error i:ate by more tha.n 50% over cha.nc(,: we a.chieve almost 70% a.ceura.cy in a 1;ask whose baseline perl'ornmn(:e is 34%, and whose exl)ert-I)ased Ul)l)er bound we ('aJ- culated a.t 86.5%. We conclude l;ha.1; corl)us-driven exl;racl;ion of gramma.1;ical ['eaJ;ures is a.

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