| tech,7-1-P03-1009,ak | research has demonstrated the utility of <term> | clustering | </term> in inducing <term> semantic verb classes | #3892 Previous research has demonstrated the utility ofclustering in inducing semantic verb classes from undisambiguated corpus data. | |
| other,10-1-P03-1009,ak | <term> clustering </term> in inducing <term> | semantic verb classes | </term> from undisambiguated <term> corpus | #3895 Previous research has demonstrated the utility of clustering in inducingsemantic verb classes from undisambiguated corpus data. | |
| other,15-1-P03-1009,ak | classes </term> from undisambiguated <term> | corpus data | </term> . We describe a new approach which | #3900 Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguatedcorpus data. | |
| tech,16-2-P03-1009,ak | SCF ) distributions </term> using the <term> | Information Bottleneck and nearest neighbour methods | </term> . In contrast to previous work , | #3919 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using theInformation Bottleneck and nearest neighbour methods. | |
| other,11-3-P03-1009,ak | we particularly focus on clustering <term> | polysemic verbs | </term> . A novel <term> evaluation scheme </term> | #3937 In contrast to previous work, we particularly focus on clusteringpolysemic verbs. | |
| tech,2-4-P03-1009,ak | <term> polysemic verbs </term> . A novel <term> | evaluation scheme | </term> is proposed which accounts for the | #3942 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,ak | proposed which accounts for the effect of <term> | polysemy | </term> on the <term> clusters </term> , offering | #3952 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,15-4-P03-1009,ak | effect of <term> polysemy </term> on the <term> | clusters | </term> , offering us a good insight into | #3955 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,31-4-P03-1009,ak | semantically classifying undisambiguated <term> | SCF data | </term> . We apply a <term> decision tree based | #3971 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 classifying undisambiguatedSCF data. |
