Clustering Verbs Semantically According to their Alternation Behaviour
نویسنده
چکیده
Verbs were clustered semantically on the basis of their alternation behaviour, as characterised by their syntactic subcategorisation frames extracted from maximum probability parses of a robust statistical parser, and completed by assigning WordNet classes as selectional preferences to the frame arguments. The clustering was achieved (a) iteratively by measuring the relative entropy between the verbs' probability distributions over the frame types, and (b) by utilising a latent class analysis based on the joint frequencies of verbs and frame types.
منابع مشابه
Clustering Verbs Semantically According To Their Alternation Behaviour
Verbs were clustered seInant ical ly on the basis of their a l te rna t ion behaviom:, as character ised I)y their syut;actic sul)caI;e.gorisation franms extrael:ed from lllllXillllllll proba.bili(;y parses of a robu,st sI;atisl;ical pa.rser, aald eOml~leted by assigning \'VordNe(; classes as se]ecl, ional preferences (;o the fl:ame arl~uments. The clustering was achieved (a) i terat ively by m...
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