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,0-3-C90-2032,bq |
<term>
documents
</term>
automatically .
<term>
|
Sentence ambiguities
|
</term>
can be resolved by using domain targeted
|
#16319
The DoPS system extracts preference knowledge from a target document or other documents automatically.Sentence ambiguities can be resolved by using domain targeted preference knowledge without using complicated large knowledgebases. |
other,11-4-C90-2032,bq |
described for the the analysis of
<term>
|
dependency structures
|
</term>
of
<term>
Japanese patent claim sentences
|
#16347
Implementation and empirical results are described for the the analysis ofdependency 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. |
tech,3-1-C90-2032,bq |
dialogue
</term>
. This paper proposes
<term>
|
document oriented preference sets ( DoPS )
|
</term>
for the disambiguation of the
<term>
|
#16287
This paper proposesdocument oriented preference sets ( DoPS ) for the disambiguation of the dependency structure of sentences. |