The more conservative approach is to try to integrate existing statistical disambiguation schemes for QLFs , either individually or in a `` packed '' structure ( Alshawi and Carter 1994 ) , with the resolution process as described here .
training and scaling preference functions for disambiguation
Hiyan Alshawi David M Carter
One is to adopt Pinkal 's `` radical underspecification '' approach ( Pirikal 1995 ) and use underspecified representations for all types of ambiguity , even syntactic ambiguity . The more conservative approach is to try to integrate existing statistical disambiguation schemes for QLFs , either individually or in a `` packed '' structure ( Alshawi and Carter 1994 ) , with the resolution process as described here . Alternatively , I believe it is worth exploring the approach to disambiguation described in Pulman ( 2000 ) , which would mesh nicely with the theory presented here .
The more conservative approach is to try to integrate existing statistical disambiguation schemes for QLFs , either individually or in a `` packed '' structure ( @@CITATION ) , with the resolution process as described here .