lr,15-3-C90-2032,bq |
knowledge without using complicated large
<term>
|
knowledgebases
|
</term>
.
<term>
Implementation
</term>
and
<term>
|
#16334
Sentence ambiguities can be resolved by using domain targeted preference knowledge without using complicated largeknowledgebases. |
other,0-4-C90-2032,bq |
large
<term>
knowledgebases
</term>
.
<term>
|
Implementation
|
</term>
and
<term>
empirical results
</term>
|
#16336
Sentence ambiguities can be resolved by using domain targeted preference knowledge without using complicated large knowledgebases.Implementation and empirical results are described for the the analysis of dependency structures of Japanese patent claim sentences. |
other,12-2-C90-2032,bq |
<term>
target document
</term>
or other
<term>
|
documents
|
</term>
automatically .
<term>
Sentence ambiguities
|
#16316
The DoPS system extracts preference knowledge from a target document or otherdocuments automatically. |
other,14-4-C90-2032,bq |
<term>
dependency structures
</term>
of
<term>
|
Japanese patent claim sentences
|
</term>
. This paper describes the framework
|
#16350
Implementation and empirical results are described for the the analysis of dependency structures ofJapanese patent claim sentences. |
other,15-1-C90-2032,bq |
</term>
for the disambiguation of the
<term>
|
dependency structure
|
</term>
of
<term>
sentences
</term>
. The
<term>
|
#16299
This paper proposes document oriented preference sets(DoPS) for the disambiguation of thedependency structure of sentences. |
other,18-1-C90-2032,bq |
<term>
dependency structure
</term>
of
<term>
|
sentences
|
</term>
. The
<term>
DoPS system
</term>
extracts
|
#16302
This paper proposes document oriented preference sets(DoPS) for the disambiguation of the dependency structure ofsentences. |
other,2-4-C90-2032,bq |
</term>
.
<term>
Implementation
</term>
and
<term>
|
empirical results
|
</term>
are described for the the analysis
|
#16338
Implementation andempirical results are described for the the analysis of dependency structures of Japanese patent claim sentences. |
other,8-2-C90-2032,bq |
extracts preference knowledge from a
<term>
|
target document
|
</term>
or other
<term>
documents
</term>
automatically
|
#16312
The DoPS system extracts preference knowledge from atarget document or other documents automatically. |
tech,1-2-C90-2032,bq |
</term>
of
<term>
sentences
</term>
. The
<term>
|
DoPS system
|
</term>
extracts preference knowledge from
|
#16305
TheDoPS system extracts preference knowledge from a target document or other documents automatically. |