model,4-3-C04-1147,bq |
In comparison with previous
<term>
models
</term>
, which either use arbitrary
<term>
windows
</term>
to compute
<term>
similarity
</term>
between
<term>
words
</term>
or use
<term>
lexical affinity
</term>
to create
<term>
sequential models
</term>
, in this paper we focus on
<term>
models
</term>
intended to capture the
<term>
co-occurrence patterns
</term>
of any pair of
<term>
words
</term>
or
<term>
phrases
</term>
at any distance in the
<term>
corpus
</term>
.
|
#6354
In comparison with previous models , which either use arbitrary windows to compute similarity between words or use lexical affinity to create sequential models, in this paper we focus on models intended to capture the co-occurrence patterns of any pair of words or phrases at any distance in the corpus. |