{"title":"从在线百科全书中获取汉语语义知识","authors":"Liu Yang, Tingting He, Xinhui Tu, Jinguang Chen","doi":"10.1109/NLPKE.2010.5587787","DOIUrl":null,"url":null,"abstract":"This paper proposes a method to obtain the semantic knowledge from an online encyclopedia called Hudong encyclopedia 2(hudong baike). We obtain concepts and then their semantic related concepts and compute the semantic relatedness by utilizing inner hyperlinks and the open category information in Hudong encyclopedia. By comparing our results with human judgments, we show that our relatedness computing method is quite effective.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Obtaining chinese semantic knowledge from online encyclopedia\",\"authors\":\"Liu Yang, Tingting He, Xinhui Tu, Jinguang Chen\",\"doi\":\"10.1109/NLPKE.2010.5587787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method to obtain the semantic knowledge from an online encyclopedia called Hudong encyclopedia 2(hudong baike). We obtain concepts and then their semantic related concepts and compute the semantic relatedness by utilizing inner hyperlinks and the open category information in Hudong encyclopedia. By comparing our results with human judgments, we show that our relatedness computing method is quite effective.\",\"PeriodicalId\":259975,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NLPKE.2010.5587787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NLPKE.2010.5587787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Obtaining chinese semantic knowledge from online encyclopedia
This paper proposes a method to obtain the semantic knowledge from an online encyclopedia called Hudong encyclopedia 2(hudong baike). We obtain concepts and then their semantic related concepts and compute the semantic relatedness by utilizing inner hyperlinks and the open category information in Hudong encyclopedia. By comparing our results with human judgments, we show that our relatedness computing method is quite effective.
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