In order to recognize one＇s intention from the communication, both the meaning and the emotion are necessary to be interpreted correctly. But until now the study of fine-grained theory of emotion is still full of cha...In order to recognize one＇s intention from the communication, both the meaning and the emotion are necessary to be interpreted correctly. But until now the study of fine-grained theory of emotion is still full of challenges. This paper analy- zes emotion category according to the statistics of Affective Word （AW） hierarchy and descries an e- motion ontology from Chinese knowledge resource semi-automatically created for human machine in- teraction. The emotion hierarchy is called complex emotion. Firstly, over 7 000 AWs have been annota- ted and theft detailed explanations had been collected for an affective lexicon and then the consistent rela- tionships are automatically parsed and a serial of e- motion hierarchical structures are built up. More than 50 affective categories are extracted by a lexical clustering algorithm and about 5 000 nouns and ad- jectives and 2 000 verbs are categorized into the predicate hierarchy. The results have been evaluated to be valid by two metrics.展开更多
To solve the irregular, poor efficiency and lowly reusable of resource, the hierarchy model of the ontology-based E-learning system is proposed. Some key techniques in the process of the project are also discussed in ...To solve the irregular, poor efficiency and lowly reusable of resource, the hierarchy model of the ontology-based E-learning system is proposed. Some key techniques in the process of the project are also discussed in this paper, such as the ontology construction, the content ontology for describing the semantics of the learning materials.展开更多
Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establis...Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establishing taxonomic relation,with the consideration of characteristics unique to Chinese natural language.By establishing the semantic forests of domain vocabularies and then using the existing semantic dictionary or machine-readable dictionary(MRD),the proposed algorithm can integrate these semantic forests together to establish the taxonomic relation.Experimental results show that the proposed algorithm is feasible and effective in establishing the integrated taxonomic relation among domain vocabularies and concepts.展开更多
基金supported by the Ministry of Education,Science,Sports and Culture,Grant-in-Aid for Scientific Research under Grant No.22240021the Grant-in-Aid for Challenging Exploratory Research under Grant No.21650030
文摘In order to recognize one＇s intention from the communication, both the meaning and the emotion are necessary to be interpreted correctly. But until now the study of fine-grained theory of emotion is still full of challenges. This paper analy- zes emotion category according to the statistics of Affective Word （AW） hierarchy and descries an e- motion ontology from Chinese knowledge resource semi-automatically created for human machine in- teraction. The emotion hierarchy is called complex emotion. Firstly, over 7 000 AWs have been annota- ted and theft detailed explanations had been collected for an affective lexicon and then the consistent rela- tionships are automatically parsed and a serial of e- motion hierarchical structures are built up. More than 50 affective categories are extracted by a lexical clustering algorithm and about 5 000 nouns and ad- jectives and 2 000 verbs are categorized into the predicate hierarchy. The results have been evaluated to be valid by two metrics.
文摘To solve the irregular, poor efficiency and lowly reusable of resource, the hierarchy model of the ontology-based E-learning system is proposed. Some key techniques in the process of the project are also discussed in this paper, such as the ontology construction, the content ontology for describing the semantics of the learning materials.
基金Sponsored by the National Natural Science Foundation of China(Grant No.60496326 and No.10671045)
文摘Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establishing taxonomic relation,with the consideration of characteristics unique to Chinese natural language.By establishing the semantic forests of domain vocabularies and then using the existing semantic dictionary or machine-readable dictionary(MRD),the proposed algorithm can integrate these semantic forests together to establish the taxonomic relation.Experimental results show that the proposed algorithm is feasible and effective in establishing the integrated taxonomic relation among domain vocabularies and concepts.
