This paper examines what kind of
<term>
similarity
</term>
between
<term>
words
</term>
can be represented by what kind of
<term>
word vectors
</term>
in the
<term>
vector space model
</term>
.
#12413This paper examines what kind of similarity between words can be represented by what kind of word vectors in the vector space model.
other,32-2-P06-2110,ak
Through two experiments , three methods for constructing
<term>
word vectors
</term>
, i.e. ,
<term>
LSA-based , cooccurrence-based and dictionary-based methods
</term>
, were compared in terms of the ability to represent two kinds of
<term>
similarity
</term>
, i.e. ,
<term>
taxonomic similarity
</term>
and
<term>
associative similarity
</term>
.
#12463Through two experiments, three methods for constructing word vectors, i.e., LSA-based, cooccurrence-based and dictionary-based methods, were compared in terms of the ability to represent two kinds of similarity , i.e., taxonomic similarity and associative similarity.
