other,15-4-P03-1009,bq |
effect of
<term>
polysemy
</term>
on the
<term>
|
clusters
|
</term>
, offering us a good insight into
|
#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. |
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. |
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. |
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,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,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. |
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. |
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. |
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,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,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. |
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. |