P91-1026 the data shown in Figure 3 for noun classification . The experiment is done for
P99-1042 we also created a simple common noun classification module using WordNet ( Miller
W05-1003 morphological information is based on the noun classification scheme proposed by Dixon ( 1991
S13-2018 ranges of phrase scores for the noun classification runs ( Run5 ) were similar to
S10-1019 separate pronoun and definite noun classification , with the possibility of using
S01-1032 Marks The second phase consist of noun classification , and has been performed by the
J98-4002 also been used in the task of noun classification ( Hindle 1990 ) . This can be
D14-1151 all pairs are considered ) and noun classification ( only pairs are considered for
A92-1013 formation algorithms for verb and noun classification ( Fabrizi et al. , forthcoming
W03-1022 . 3 Lexicographer Classes for Noun Classification 3.1 WordNet Lexicographer Labels
H93-1062 assigns categories from a proper noun classification scheme to every proper noun in
W10-0601 classification ( column 2 ) and noun classification ( column 3 ) . Each plot contrasts
S13-2018 target phrase boundaries based on noun classifications may prove to yield reasonable
J13-2003 Following previous works on semantic noun classification ( Pantel and Lin 2002 ; Bergsma
N13-1118 . Following previous semantic noun classification experiments ( Pantel and Lin
H93-1062 and foreign country . Our proper noun classification scheme , which was developed
W04-3213 separate cat - egory . This yields a noun classification system that is very coarse and
E06-1044 both the coarsest and the finest noun classification available in Word - Net , namely
J01-1005 successfully used for unknown proper noun classification . Proper nouns have particular
D14-1151 text-based alone : .66 vs .63 . For noun classification , using coreference - based features
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