Paper: Explaining Away Ambiguity: Learning Verb Selectional Preference With Bayesian Networks

ACL ID C00-1028
Title Explaining Away Ambiguity: Learning Verb Selectional Preference With Bayesian Networks
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

This t)at)er presents a Bayesian lnodel for unsu- t)(;rvised learning of v(;rb s(;le(-t;ional t)refer(;nc('s. For each vert) the model creates a 13~Wo.sian n(~twork whose archii;e(:lan'(~ is (l(fl;(wmin(;d t).5' the h',xical hicr~m:hy of W()r(hmt mtd whos('~ 1)ar~mmt;(;rs are ('~sl;im;~l:(~d from a list; of v('d'l)- ol)je('t pairs ]'cram from a tort)us. "lgxl)laining away", t~ well-known t)rop('xi;y of Baycsi~m net- works, helps the moth;1 (teal in a natural fash- ion with word sense aml)iguity in tlw, training (tat~L. ()n a, word sense disamt)igu;~tion Lest our model t)erformed l)ctl;c,r than ot;h(',r stal;(~ of tim art systems for unSUl)crvis(~d learning ()t7 seh'x:- tionM t)r(d'er(mces. Coml)utational (:Oml)lcxity l)rol)lems, wn.ys of improving tiffs ;tl)l)roa(:h mM methods for iml)h'me...