In this paper a novel solution to
<term>
automatic and unsupervised word sense induction ( WSI )
</term>
is introduced .
#11031In this paper a novel solution toautomatic and unsupervised word sense induction ( WSI ) is introduced.
other,6-2-E06-1018,ak
It represents an instantiation of the
<term>
one sense per collocation observation
</term>
( Gale et al. , 1992 ) .
#11049It represents an instantiation of theone sense per collocation observation (Gale et al., 1992).
tech,6-3-E06-1018,ak
Like most existing approaches it utilizes
<term>
clustering
</term>
of
<term>
word co-occurrences
</term>
.
#11068Like most existing approaches it utilizesclustering of word co-occurrences.
other,8-3-E06-1018,ak
Like most existing approaches it utilizes
<term>
clustering
</term>
of
<term>
word co-occurrences
</term>
.
#11070Like most existing approaches it utilizes clustering ofword co-occurrences.
tech,7-4-E06-1018,ak
This approach differs from other approaches to
<term>
WSI
</term>
in that it enhances the effect of the
<term>
one sense per collocation observation
</term>
by using
<term>
triplets of words
</term>
instead of pairs .
#11080This approach differs from other approaches toWSI in that it enhances the effect of the one sense per collocation observation by using triplets of words instead of pairs.
other,16-4-E06-1018,ak
This approach differs from other approaches to
<term>
WSI
</term>
in that it enhances the effect of the
<term>
one sense per collocation observation
</term>
by using
<term>
triplets of words
</term>
instead of pairs .
#11089This approach differs from other approaches to WSI in that it enhances the effect of theone sense per collocation observation by using triplets of words instead of pairs.
other,23-4-E06-1018,ak
This approach differs from other approaches to
<term>
WSI
</term>
in that it enhances the effect of the
<term>
one sense per collocation observation
</term>
by using
<term>
triplets of words
</term>
instead of pairs .
#11096This approach differs from other approaches to WSI in that it enhances the effect of the one sense per collocation observation by usingtriplets of words instead of pairs.
tech,4-5-E06-1018,ak
The combination with a
<term>
two-step clustering process
</term>
using
<term>
sentence co-occurrences
</term>
as
<term>
features
</term>
allows for accurate results .
#11107The combination with atwo-step clustering process using sentence co-occurrences as features allows for accurate results.
other,8-5-E06-1018,ak
The combination with a
<term>
two-step clustering process
</term>
using
<term>
sentence co-occurrences
</term>
as
<term>
features
</term>
allows for accurate results .
#11111The combination with a two-step clustering process usingsentence co-occurrences as features allows for accurate results.
other,11-5-E06-1018,ak
The combination with a
<term>
two-step clustering process
</term>
using
<term>
sentence co-occurrences
</term>
as
<term>
features
</term>
allows for accurate results .
#11114The combination with a two-step clustering process using sentence co-occurrences asfeatures allows for accurate results.
measure(ment),6-6-E06-1018,ak
Additionally , a novel and likewise
<term>
automatic and unsupervised evaluation method
</term>
inspired by Schutze 's ( 1992 ) idea of evaluation of
<term>
word sense disambiguation algorithms
</term>
is employed .
#11126Additionally, a novel and likewiseautomatic and unsupervised evaluation method inspired by Schutze's (1992) idea of evaluation of word sense disambiguation algorithms is employed.
tech,22-6-E06-1018,ak
Additionally , a novel and likewise
<term>
automatic and unsupervised evaluation method
</term>
inspired by Schutze 's ( 1992 ) idea of evaluation of
<term>
word sense disambiguation algorithms
</term>
is employed .
#11142Additionally, a novel and likewise automatic and unsupervised evaluation method inspired by Schutze's (1992) idea of evaluation ofword sense disambiguation algorithms is employed.
lr,10-7-E06-1018,ak
Offering advantages like reproducability and independency of a given biased
<term>
gold standard
</term>
it also enables
<term>
automatic parameter optimization
</term>
of the
<term>
WSI algorithm
</term>
.
#11159Offering advantages like reproducability and independency of a given biasedgold standard it also enables automatic parameter optimization of the WSI algorithm.
tech,15-7-E06-1018,ak
Offering advantages like reproducability and independency of a given biased
<term>
gold standard
</term>
it also enables
<term>
automatic parameter optimization
</term>
of the
<term>
WSI algorithm
</term>
.
#11164Offering advantages like reproducability and independency of a given biased gold standard it also enablesautomatic parameter optimization of the WSI algorithm.
tech,20-7-E06-1018,ak
Offering advantages like reproducability and independency of a given biased
<term>
gold standard
</term>
it also enables
<term>
automatic parameter optimization
</term>
of the
<term>
WSI algorithm
</term>
.
#11169Offering advantages like reproducability and independency of a given biased gold standard it also enables automatic parameter optimization of theWSI algorithm.