Concordance

Query P03-1009 12 >
Multilevel Sort 12 (559.5 per million)

other,10-1-P03-1009,bq	Previous research has demonstrated the utility of <term> clustering </term> in inducing <term> semantic verb classes </term> from undisambiguated <term> corpus data </term> .	#3894 Previous research has demonstrated the utility of clustering in inducingsemantic verb classes from undisambiguated corpus data.
other,11-3-P03-1009,bq	In contrast to previous work , we particularly focus on clustering <term> polysemic verbs </term> .	#3936 In contrast to previous work, we particularly focus on clusteringpolysemic verbs.
other,12-4-P03-1009,bq	A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy </term> on the <term> clusters </term> , offering us a good insight into the potential and limitations of <term> semantically classifying </term><term> undisambiguated SCF data </term> .	#3951 A novel evaluation scheme is proposed which accounts for the effect ofpolysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
other,15-1-P03-1009,bq	Previous research has demonstrated the utility of <term> clustering </term> in inducing <term> semantic verb classes </term> from undisambiguated <term> corpus data </term> .	#3899 Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguatedcorpus data.
other,15-4-P03-1009,bq	A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy </term> on the <term> clusters </term> , offering us a good insight into the potential and limitations of <term> semantically classifying </term><term> undisambiguated SCF data </term> .	#3954 A novel evaluation scheme is proposed which accounts for the effect of polysemy on theclusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
other,30-4-P03-1009,bq	A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy </term> on the <term> clusters </term> , offering us a good insight into the potential and limitations of <term> semantically classifying </term><term> undisambiguated SCF data </term> .	#3969 A novel evaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifyingundisambiguated SCF data.
other,8-2-P03-1009,bq	We describe a new approach which involves clustering <term> subcategorization frame ( SCF ) </term> distributions using the <term> Information Bottleneck </term> and <term> nearest neighbour </term> methods .	#3910 We describe a new approach which involves clusteringsubcategorization frame ( SCF ) distributions using the Information Bottleneck and nearest neighbour methods.
tech,16-2-P03-1009,bq	We describe a new approach which involves clustering <term> subcategorization frame ( SCF ) </term> distributions using the <term> Information Bottleneck </term> and <term> nearest neighbour </term> methods .	#3918 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using theInformation Bottleneck and nearest neighbour methods.
tech,19-2-P03-1009,bq	We describe a new approach which involves clustering <term> subcategorization frame ( SCF ) </term> distributions using the <term> Information Bottleneck </term> and <term> nearest neighbour </term> methods .	#3921 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using the Information Bottleneck andnearest neighbour methods.
tech,2-4-P03-1009,bq	A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy </term> on the <term> clusters </term> , offering us a good insight into the potential and limitations of <term> semantically classifying </term><term> undisambiguated SCF data </term> .	#3941 A novelevaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data.
tech,28-4-P03-1009,bq	A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy </term> on the <term> clusters </term> , offering us a good insight into the potential and limitations of <term> semantically classifying </term><term> undisambiguated SCF data </term> .	#3967 A novel evaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations ofsemantically classifying undisambiguated SCF data.
tech,7-1-P03-1009,bq	Previous research has demonstrated the utility of <term> clustering </term> in inducing <term> semantic verb classes </term> from undisambiguated <term> corpus data </term> .	#3891 Previous research has demonstrated the utility ofclustering in inducing semantic verb classes from undisambiguated corpus data.


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