| tech,7-1-P03-1009,bq | research has demonstrated the utility of <term> | clustering | </term> in inducing <term> semantic verb classes | #3891 Previous research has demonstrated the utility ofclustering in inducing semantic verb classes from undisambiguated corpus data. |
| other,10-1-P03-1009,bq | <term> clustering </term> in inducing <term> | semantic verb classes | </term> from undisambiguated <term> corpus | #3894 Previous research has demonstrated the utility of clustering in inducingsemantic verb classes from undisambiguated corpus data. |
| other,15-1-P03-1009,bq | classes </term> from undisambiguated <term> | corpus data | </term> . We describe a new approach which | #3899 Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguatedcorpus data. |
| other,8-2-P03-1009,bq | approach which involves clustering <term> | subcategorization frame ( SCF ) | </term> distributions using the <term> Information | #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 | SCF ) </term> distributions using the <term> | Information Bottleneck | </term> and <term> nearest neighbour </term> | #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 | <term> Information Bottleneck </term> and <term> | nearest neighbour | </term> methods . In contrast to previous | #3921 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using the Information Bottleneck andnearest neighbour methods. |
| other,11-3-P03-1009,bq | we particularly focus on clustering <term> | polysemic verbs | </term> . A novel <term> evaluation scheme </term> | #3936 In contrast to previous work, we particularly focus on clusteringpolysemic verbs. |
| tech,2-4-P03-1009,bq | <term> polysemic verbs </term> . A novel <term> | evaluation scheme | </term> is proposed which accounts for the | #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. |
| other,12-4-P03-1009,bq | proposed which accounts for the effect of <term> | polysemy | </term> on the <term> clusters </term> , offering | #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. |
| tech,28-4-P03-1009,bq | 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. |
| other,30-4-P03-1009,bq | <term> semantically classifying </term><term> | undisambiguated SCF data | </term> . We apply a <term> decision tree based | #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. |
