| 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,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,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,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,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,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,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. |
| 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. |
| 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,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,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. |
