#27835Using automatically collected data, theaccuracy and applicability of each method is quantified, and a statistical analysis of the significance of the results is performed.
tech,3-7-P95-1027,ak
simple methods . The most sophisticated
<term>
complex learning method
</term>
offers a small , but statistically
#27933The most sophisticatedcomplex learning method offers a small, but statistically significant, improvement over the original tests.
measure(ment),14-7-P95-1027,ak
, but statistically significant ,
<term>
improvement
</term>
over the original tests .
<term>
Large-scale
#27944The most sophisticated complex learning method offers a small, but statistically significant,improvement over the original tests.
measure(ment),20-6-P95-1027,ak
individual methods , and compare their
<term>
performance
</term>
to the simple methods . The most
#27924We also apply two generic statistical learning methods for combining the indications of the individual methods, and compare theirperformance to the simple methods.
measure(ment),9-5-P95-1027,ak
addition , one of the simplest methods ,
<term>
text frequency
</term>
, dominates all others . We also
#27897In addition, one of the simplest methods,text frequency, dominates all others.
tech,4-6-P95-1027,ak
dominates all others . We also apply two
<term>
generic statistical learning methods
</term>
for combining the indications of
#27908We also apply twogeneric statistical learning methods for combining the indications of the individual methods, and compare their performance to the simple methods.
other,29-4-P95-1027,ak
better than would be attributable to
<term>
chance
</term>
. In addition , one of the simplest
#27886We show that some simple methods are indeed good indicators for the answer to the problem while other proposed methods fail to perform better than would be attributable tochance.
other,1-3-P95-1027,ak
positive term from the pair . Using
<term>
automatically collected data
</term>
, the
<term>
accuracy
</term>
and
<term>
#27830Usingautomatically collected data, the accuracy and applicability of each method is quantified, and a statistical analysis of the significance of the results is performed.
measure(ment),8-3-P95-1027,ak
</term>
, the
<term>
accuracy
</term>
and
<term>
applicability
</term>
of each method is quantified , and
#27837Using automatically collected data, the accuracy andapplicability of each method is quantified, and a statistical analysis of the significance of the results is performed.
tech,17-3-P95-1027,ak
each method is quantified , and a
<term>
statistical analysis
</term>
of the
<term>
significance
</term>
of
#27846Using automatically collected data, the accuracy and applicability of each method is quantified, and astatistical analysis of the significance of the results is performed.
other,26-1-P95-1027,ak
semantically unmarked term out of a pair of
<term>
antonymous adjectives
</term>
. Solutions to this problem are applicable
#27806We present a corpus-based study of methods that have been proposed in the linguistics literature for selecting the semantically unmarked term out of a pair ofantonymous adjectives.
tech,3-1-P95-1027,ak
contextual information
</term>
. We present a
<term>
corpus-based study
</term>
of methods that have been proposed
#27783We present acorpus-based study of methods that have been proposed in the linguistics literature for selecting the semantically unmarked term out of a pair of antonymous adjectives.
measure(ment),21-3-P95-1027,ak
<term>
statistical analysis
</term>
of the
<term>
significance
</term>
of the results is performed . We
#27850Using automatically collected data, the accuracy and applicability of each method is quantified, and a statistical analysis of thesignificance of the results is performed.