Brockmann and Lapata ( 2003 ) have showed that WordNet-based approaches do not always outperform simple frequency-based models , and a number of techniques have been recently proposed which may offer ideas for refining our current unsupervised approach ( Erk , 2007 ; Bergsma et al. , 2008 ) .
discriminative learning of selectional preference from unlabeled text
Shane Bergsma Dekang Lin Randy Goebel
Considerable research has been done on SP acquisition most of which has involved collecting argument headwords from data and generalizing to WordNet classes . Brockmann and Lapata ( 2003 ) have showed that WordNet-based approaches do not always outperform simple frequency-based models , and a number of techniques have been recently proposed which may offer ideas for refining our current unsupervised approach ( Erk , 2007 ; Bergsma et al. , 2008 ) . The number and type ( and combination ) of GRs for which SPs can be reliably acquired , especially when the data is sparse , requires also further investigation .
Brockmann and Lapata ( 2003 ) have showed that WordNet-based approaches do not always outperform simple frequency-based models , and a number of techniques have been recently proposed which may offer ideas for refining our current unsupervised approach ( Erk , 2007 ; @@CITATION ) .