#10283This paper describes a novel system for acquiring adjectival subcategorization frames (SCFs) and associatedfrequency information from English corpus data.
other,19-1-P05-1076,ak
<term>
frequency information
</term>
from
<term>
English corpus data
</term>
. The system incorporates a
<term>
#10286This paper describes a novel system for acquiring adjectival subcategorization frames (SCFs) and associated frequency information fromEnglish corpus data.
tech,4-2-P05-1076,ak
</term>
. The system incorporates a
<term>
decision-tree classifier
</term>
for 30
<term>
SCF types
</term>
which
#10294The system incorporates adecision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser.
other,8-2-P05-1076,ak
decision-tree classifier
</term>
for 30
<term>
SCF types
</term>
which tests for the presence of
<term>
#10298The system incorporates a decision-tree classifier for 30SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser.
other,16-2-P05-1076,ak
</term>
which tests for the presence of
<term>
grammatical relations ( GRs )
</term>
in the output of a
<term>
robust statistical
#10306The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence ofgrammatical relations ( GRs ) in the output of a robust statistical parser.
tech,26-2-P05-1076,ak
relations ( GRs )
</term>
in the output of a
<term>
robust statistical parser
</term>
. It uses a powerful
<term>
pattern-matching
#10316The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of arobust statistical parser.
tech,4-3-P05-1076,ak
parser
</term>
. It uses a powerful
<term>
pattern-matching language
</term>
to classify
<term>
GRs
</term>
into
<term>
#10324It uses a powerfulpattern-matching language to classify GRs into frames hierarchically in a way that mirrors inheritance-based lexica.
other,8-3-P05-1076,ak
pattern-matching language
</term>
to classify
<term>
GRs
</term>
into
<term>
frames
</term>
hierarchically
#10328It uses a powerful pattern-matching language to classifyGRs into frames hierarchically in a way that mirrors inheritance-based lexica.
other,10-3-P05-1076,ak
</term>
to classify
<term>
GRs
</term>
into
<term>
frames
</term>
hierarchically in a way that mirrors
#10330It uses a powerful pattern-matching language to classify GRs intoframes hierarchically in a way that mirrors inheritance-based lexica.
other,17-3-P05-1076,ak
hierarchically in a way that mirrors
<term>
inheritance-based lexica
</term>
. The experiments show that the system
#10337It uses a powerful pattern-matching language to classify GRs into frames hierarchically in a way that mirrorsinheritance-based lexica.
other,10-4-P05-1076,ak
that the system is able to detect
<term>
SCF types
</term>
with 70 %
<term>
precision
</term>
and
#10350The experiments show that the system is able to detectSCF types with 70% precision and 66% recall rate.
measure(ment),15-4-P05-1076,ak
detect
<term>
SCF types
</term>
with 70 %
<term>
precision
</term>
and 66 %
<term>
recall rate
</term>
.
#10355The experiments show that the system is able to detect SCF types with 70%precision and 66% recall rate.
measure(ment),19-4-P05-1076,ak
70 %
<term>
precision
</term>
and 66 %
<term>
recall rate
</term>
. A new tool for
<term>
linguistic
#10359The experiments show that the system is able to detect SCF types with 70% precision and 66%recall rate.
tech,4-5-P05-1076,ak
recall rate
</term>
. A new tool for
<term>
linguistic annotation
</term>
of
<term>
SCFs
</term>
in
<term>
corpus
#10366A new tool forlinguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition.
other,7-5-P05-1076,ak
<term>
linguistic annotation
</term>
of
<term>
SCFs
</term>
in
<term>
corpus data
</term>
is also
#10369A new tool for linguistic annotation ofSCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition.
other,9-5-P05-1076,ak
annotation
</term>
of
<term>
SCFs
</term>
in
<term>
corpus data
</term>
is also introduced which can considerably
#10371A new tool for linguistic annotation of SCFs incorpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition.
other,22-5-P05-1076,ak
alleviate the process of obtaining
<term>
training and test data
</term>
for
<term>
subcategorization acquisition
#10384A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtainingtraining and test data for subcategorization acquisition.
other,27-5-P05-1076,ak
<term>
training and test data
</term>
for
<term>
subcategorization acquisition
</term>
.
<term>
Sentiment Classification
</term>
#10389A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data forsubcategorization acquisition.