| tech,3-1-C90-2032,ak | telephone dialogue . This paper proposes <term> | document oriented preference sets ( DoPS ) | </term> for the <term> disambiguation </term> | #20347 This paper proposesdocument oriented preference sets ( DoPS ) for the disambiguation of the dependency structure of sentences. | |
| tech,12-1-C90-2032,ak | preference sets ( DoPS ) </term> for the <term> | disambiguation | </term> of the <term> dependency structure </term> | #20356 This paper proposes document oriented preference sets(DoPS) for thedisambiguation of the dependency structure of sentences. | |
| other,15-1-C90-2032,ak | the <term> disambiguation </term> of the <term> | dependency structure | </term> of <term> sentences </term> . The <term> | #20359 This paper proposes document oriented preference sets(DoPS) for the disambiguation of thedependency structure of sentences. | |
| other,18-1-C90-2032,ak | <term> dependency structure </term> of <term> | sentences | </term> . The <term> DoPS system </term> extracts | #20362 This paper proposes document oriented preference sets(DoPS) for the disambiguation of the dependency structure ofsentences. | |
| tech,1-2-C90-2032,ak | </term> of <term> sentences </term> . The <term> | DoPS system | </term> extracts <term> preference knowledge | #20365 TheDoPS system extracts preference knowledge from a target document or other documents automatically. | |
| model,4-2-C90-2032,ak | The <term> DoPS system </term> extracts <term> | preference knowledge | </term> from a target document or other documents | #20368 The DoPS system extractspreference knowledge from a target document or other documents automatically. | |
| other,0-3-C90-2032,ak | or other documents automatically . <term> | Sentence ambiguities | </term> can be resolved by using <term> domain | #20379 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. | |
| model,7-3-C90-2032,ak | ambiguities </term> can be resolved by using <term> | domain targeted preference knowledge | </term> without using complicated large <term> | #20386 Sentence ambiguities can be resolved by usingdomain targeted preference knowledge without using complicated large knowledgebases. | |
| lr,15-3-C90-2032,ak | </term> without using complicated large <term> | knowledgebases | </term> . Implementation and empirical results | #20394 Sentence ambiguities can be resolved by using domain targeted preference knowledge without using complicated largeknowledgebases. | |
| other,11-4-C90-2032,ak | described for the the analysis of <term> | dependency structures | </term> of <term> Japanese patent claim sentences | #20407 Implementation and empirical results are described for the the analysis ofdependency structures of Japanese patent claim sentences. | |
| other,14-4-C90-2032,ak | <term> dependency structures </term> of <term> | Japanese patent claim sentences | </term> . This paper describes the framework | #20410 Implementation and empirical results are described for the the analysis of dependency structures ofJapanese patent claim sentences. |
