E03-1077 |
process by enhancing the original
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C-value method
|
with term normalisation . All
|
W03-2911 |
approach to ATR is based on the
|
C-value method
|
( Frantzi et al. , 2000 ) , which
|
S10-1042 |
adaptation and implementation of the
|
C-value method
|
. This method was originally
|
P06-4006 |
term candidates extracted by the
|
C-value method
|
. Subse - quently , context factors
|
P00-1063 |
the proposed method and of the
|
C-value method
|
. By dividing the ranked lists
|
E03-1077 |
term candidates extracted by the
|
C-value method
|
. Subsequently , context factors
|
W03-1316 |
to the linguistic part of the
|
C-value method
|
, in order to enhance the results
|
W03-1316 |
Combining word and term features The
|
C-value method
|
extracts only multi-word terms
|
W03-2911 |
extraction method , called the
|
C-value method
|
. In Section 3 we discuss morpho-syntactic
|
H05-1106 |
. 2A notable exception is the
|
C-value method
|
which incorporates a term 's
|
P15-2055 |
. Given an input corpus , the
|
C-Value method
|
extracts multi-word terms by
|
P06-4006 |
Mima and Ananiadou , 2001 ) . The
|
C-value method
|
recognizes terms by combining
|
S10-1042 |
multiword terminological phrases , the
|
C-value method
|
( Frantzi et al. , 2000 ) . In
|
C04-1087 |
words it contains . The original
|
C-value method
|
treats term variants that correspond
|
W03-2911 |
measure . Hence , in order for the
|
C-value method
|
to be applied correctly in a
|
W03-2911 |
presented as terms . Evaluation of the
|
C-value method
|
for English has shown that using
|
W03-2911 |
Automatic Term Recognition : the core
|
C-value method
|
Our approach to ATR is based
|
W03-1316 |
used an enhanced version of the
|
C-value method
|
( Frantzi et al. , 2000 ) , which
|
P06-4006 |
handled via WordNet . The basic
|
C-value method
|
has been enhanced by term variation
|
E03-1077 |
extract multi-word terms . The
|
C-value method
|
recognises terms by combining
|