| lr,0-1-I05-4007,ak | contributed to the <term> scores </term> . <term> | Parallel wordnets | </term> built upon correspondences between | #7055 Analysis of the results shows that each component of the system contributed to the scores.Parallel wordnets built upon correspondences between different languages can play a crucial role in multilingual knowledge processing. | |
| other,7-1-I05-4007,ak | correspondences between different <term> | languages | </term> can play a crucial role in <term> multilingual | #7062 Parallel wordnets built upon correspondences between differentlanguages can play a crucial role in multilingual knowledge processing. | |
| tech,14-1-I05-4007,ak | languages </term> can play a crucial role in <term> | multilingual knowledge processing | </term> . Since there is no <term> homomorphism | #7069 Parallel wordnets built upon correspondences between different languages can play a crucial role inmultilingual knowledge processing. | |
| other,4-2-I05-4007,ak | processing </term> . Since there is no <term> | homomorphism | </term> between pairs of <term> monolingual | #7077 Since there is nohomomorphism between pairs of monolingual wordnets, we must rely on lexical semantic relation (LSR) mappings to ensure conceptual cohesion. | |
| lr,8-2-I05-4007,ak | homomorphism </term> between pairs of <term> | monolingual wordnets | </term> , we must rely on <term> lexical semantic | #7081 Since there is no homomorphism between pairs ofmonolingual wordnets, we must rely on lexical semantic relation (LSR) mappings to ensure conceptual cohesion. | |
| model,15-2-I05-4007,ak | monolingual wordnets </term> , we must rely on <term> | lexical semantic relation ( LSR ) mappings | </term> to ensure <term> conceptual cohesion | #7088 Since there is no homomorphism between pairs of monolingual wordnets, we must rely onlexical semantic relation ( LSR ) mappings to ensure conceptual cohesion. | |
| other,24-2-I05-4007,ak | relation ( LSR ) mappings </term> to ensure <term> | conceptual cohesion | </term> . In this paper , we propose and | #7097 Since there is no homomorphism between pairs of monolingual wordnets, we must rely on lexical semantic relation (LSR) mappings to ensureconceptual cohesion. | |
| lr,12-3-I05-4007,ak | implement a model for bootstrapping <term> | parallel wordnets | </term> based on one <term> monolingual wordnet | #7112 In this paper, we propose and implement a model for bootstrappingparallel wordnets based on one monolingual wordnet and a set of cross-lingual lexical semantic relations. | |
| lr,17-3-I05-4007,ak | parallel wordnets </term> based on one <term> | monolingual wordnet | </term> and a set of <term> cross-lingual lexical | #7117 In this paper, we propose and implement a model for bootstrapping parallel wordnets based on onemonolingual wordnet and a set of cross-lingual lexical semantic relations. | |
| model,23-3-I05-4007,ak | monolingual wordnet </term> and a set of <term> | cross-lingual lexical semantic relations | </term> . In particular , we propose a set | #7123 In this paper, we propose and implement a model for bootstrapping parallel wordnets based on one monolingual wordnet and a set ofcross-lingual lexical semantic relations. | |
| model,8-4-I05-4007,ak | In particular , we propose a set of <term> | inference rules | </term> to predict <term> Chinese wordnet structure | #7136 In particular, we propose a set ofinference rules to predict Chinese wordnet structure based on English wordnet and English-Chinese translation relations. | |
| other,12-4-I05-4007,ak | <term> inference rules </term> to predict <term> | Chinese wordnet structure | </term> based on <term> English wordnet </term> | #7140 In particular, we propose a set of inference rules to predictChinese wordnet structure based on English wordnet and English-Chinese translation relations. | |
| lr,17-4-I05-4007,ak | Chinese wordnet structure </term> based on <term> | English wordnet | </term> and <term> English-Chinese translation | #7145 In particular, we propose a set of inference rules to predict Chinese wordnet structure based onEnglish wordnet and English-Chinese translation relations. | |
| other,20-4-I05-4007,ak | on <term> English wordnet </term> and <term> | English-Chinese translation relations | </term> . We show that this model of <term> | #7148 In particular, we propose a set of inference rules to predict Chinese wordnet structure based on English wordnet andEnglish-Chinese translation relations. | |
| tech,6-5-I05-4007,ak | </term> . We show that this model of <term> | parallel wordnet building | </term> is effective and achieves higher <term> | #7158 We show that this model ofparallel wordnet building is effective and achieves higher precision in LSR prediction. | |
| measure(ment),14-5-I05-4007,ak | </term> is effective and achieves higher <term> | precision | </term> in <term> LSR prediction </term> . <term> | #7166 We show that this model of parallel wordnet building is effective and achieves higherprecision in LSR prediction. | |
| tech,16-5-I05-4007,ak | achieves higher <term> precision </term> in <term> | LSR prediction | </term> . <term> Taiwan Child Language Corpus | #7168 We show that this model of parallel wordnet building is effective and achieves higher precision inLSR prediction. |
