C02-1166 |
three steps : word alignment ,
|
term extraction
|
term alignment . In this section
|
C02-1027 |
the incorporation of automatic
|
term extraction
|
techniques . 5Note that MARS
|
C00-1059 |
, which is a key component for
|
term extraction
|
, is also proposed . The automatically
|
A94-1019 |
metarules . Thirdly , our research on
|
term extraction
|
places great stress on term variations
|
C04-1069 |
Extraction The Global / Local Key
|
Term extraction
|
concerns the problem of what
|
A97-1044 |
validated weights . The following
|
term extraction
|
methods have been used ; they
|
C00-1047 |
1976 ) . Research on automatic
|
term extraction
|
in NLP domains has led to several
|
A97-1045 |
Various existing and workable
|
term extraction
|
tools are either statistically
|
C02-1008 |
, there were three methods for
|
term extraction
|
, which is a necessary process
|
C02-1008 |
modules : anchor-text extraction ,
|
term extraction
|
and term translation extraction
|
C02-1083 |
needs of specialists , automatic
|
term extraction
|
tools are important for consistent
|
C04-1087 |
incorporated as an integral part of the
|
term extraction
|
process . C-value is a hybrid
|
C00-1059 |
problem we are confronted with in
|
term extraction
|
is the structural ambiguity of
|
C04-1069 |
u m e n t s 3 Global/Local Key
|
Term Extraction
|
The Global / Local Key Term extraction
|
C04-1069 |
are not extracted by using Key
|
Term extraction
|
algorithm from single document
|
C02-1083 |
integration . However , automatic
|
term extraction
|
is not the ultimate goal itself
|
C00-1084 |
using morphological rules . 2.1
|
Term Extraction
|
in Japanese Japanese has 11o
|
C02-1008 |
each given source term s , the
|
term extraction
|
module extracts key terms as
|
A92-1044 |
complex than the one for generic
|
term extraction
|
, because it must allow the extraction
|
C02-1027 |
Totkov and Tanev , 1999 ) and
|
term extraction
|
. The following sections outline
|