P06-2111 |
Alignment The alignment approach to
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synonym extraction
|
is based on automatic word alignment
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P14-1131 |
" evaluation ( see Table 2 ) .
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Synonym extraction
|
is run on the English graph .
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P06-1045 |
extracted in Section 2 is useful for
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synonym extraction
|
. The per - formances , i.e.
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P06-2111 |
performing language for Dutch
|
synonym extraction
|
from parallel corpora . It seems
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P06-2111 |
applied and the results of the
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synonym extraction
|
task . As our data we used the
|
P14-1131 |
the same parameters as in the
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synonym extraction
|
task for all four similarity
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P06-2070 |
Such morphological processing and
|
synonym extraction
|
tools are available for English
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D09-1084 |
, information retrieval , and
|
synonym extraction
|
. We propose a novel model of
|
P14-1131 |
bilingual lexicon extraction than on
|
synonym extraction
|
( see Table 2 ) . The reason
|
D11-1010 |
context-sensitive spelling error correction ,
|
synonym extraction
|
, lexical substitu - tion , and
|
P14-1131 |
is more than 40 times faster on
|
synonym extraction
|
and six times faster on lexicon
|
P14-1131 |
evaluate CoSimRank for the tasks of
|
synonym extraction
|
and bilingual lexicon extraction
|
P14-1131 |
experimental evaluation on the tasks of
|
synonym extraction
|
and bilingual lexicon extraction
|
P06-2111 |
recall scores for the task of
|
synonym extraction
|
than the monolingual syntax-based
|
P06-2111 |
contains the description of the
|
synonym extraction
|
approach based on distributional
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N07-1043 |
applied in various tasks such as
|
synonym extraction
|
, hyponym extraction ( Hearst
|
C04-1116 |
. To re-evaluate the baseline
|
synonym extraction
|
system , we used the authors
|
C04-1116 |
better precision than the basic
|
synonym extraction
|
approach , though the recall
|
P06-2111 |
. They report an experiment on
|
synonym extraction
|
using bilingual resources ( an
|
P14-1131 |
- constrained graph walk , on
|
synonym extraction
|
( Minkov and Cohen , 2012 ) .
|