J05-4002 |
information is utilized using different
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co-occurrence retrieval
|
models ( CRMs ) . Using different
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J05-4002 |
important contribution of this work on
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co-occurrence retrieval
|
is a better understanding of
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S13-1017 |
similarity based on Formula ( 5 ) .
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Co-occurrence Retrieval
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Model ( CRM ) ( Weeds , 2003
|
S15-2021 |
vectors . Besides , we used the
|
Co-occurrence Retrieval
|
Model ( CRM ) ( Weeds , 2003
|
S15-2006 |
vectors . Besides , we used the
|
Co-occurrence Retrieval
|
Model ( CRM ) ( Weeds , 2003
|
S14-2044 |
space sentence similarity and
|
co-occurrence retrieval
|
model ( CRM ) , which results
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J05-4002 |
</title> <authors></authors> <title>
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Co-occurrence Retrieval
|
: A Flexible Framework for Lexical
|
J05-4002 |
distributional similarity as one of
|
co-occurrence retrieval
|
( CR ) , for which we can measure
|
S14-2043 |
word . In addition , we use the
|
Co-occurrence Retrieval
|
Model ( CRM ) feature from our
|
J05-4002 |
distributionally similar words as one of
|
co-occurrence retrieval
|
( CR ) , for which we can measure
|
J05-4002 |
similar words is cast as one of
|
co-occurrence retrieval
|
( CR ) for which precision and
|
C04-1146 |
settings in the additive MI-based
|
Co-occurrence Retrieval
|
Model ( AMCRM ) ( Weeds and Weir
|