{"title":"如何在wordnet类型字典的大型封闭子集中创建顺序","authors":"Ahti Lohk, Ottokar Tilk, L. Võhandu","doi":"10.5128/ERYA9.10","DOIUrl":null,"url":null,"abstract":"This article presents a new two-step method to handle and study large closed subsets of WordNet-type dictionaries with the goal of finding possible structural inconsistencies. The notion of closed subset is explained using a WordNet tree. A novel and very fast method to order large relational systems is described and compared with some other fast methods. All the presented methods have been tested using Estonian1 and Princeton WordNet2 largest closed sets. DOI: http://dx.doi.org/10.5128/ERYa9.10","PeriodicalId":35118,"journal":{"name":"Eesti Rakenduslingvistika Uhingu Aastaraamat","volume":"94 1","pages":"149-160"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"HOW TO CREATE ORDER IN LARGE CLOSED SUBSETS OF WORDNET-TYPE DICTIONARIES\",\"authors\":\"Ahti Lohk, Ottokar Tilk, L. Võhandu\",\"doi\":\"10.5128/ERYA9.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a new two-step method to handle and study large closed subsets of WordNet-type dictionaries with the goal of finding possible structural inconsistencies. The notion of closed subset is explained using a WordNet tree. A novel and very fast method to order large relational systems is described and compared with some other fast methods. All the presented methods have been tested using Estonian1 and Princeton WordNet2 largest closed sets. DOI: http://dx.doi.org/10.5128/ERYa9.10\",\"PeriodicalId\":35118,\"journal\":{\"name\":\"Eesti Rakenduslingvistika Uhingu Aastaraamat\",\"volume\":\"94 1\",\"pages\":\"149-160\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eesti Rakenduslingvistika Uhingu Aastaraamat\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5128/ERYA9.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eesti Rakenduslingvistika Uhingu Aastaraamat","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5128/ERYA9.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Arts and Humanities","Score":null,"Total":0}
HOW TO CREATE ORDER IN LARGE CLOSED SUBSETS OF WORDNET-TYPE DICTIONARIES
This article presents a new two-step method to handle and study large closed subsets of WordNet-type dictionaries with the goal of finding possible structural inconsistencies. The notion of closed subset is explained using a WordNet tree. A novel and very fast method to order large relational systems is described and compared with some other fast methods. All the presented methods have been tested using Estonian1 and Princeton WordNet2 largest closed sets. DOI: http://dx.doi.org/10.5128/ERYa9.10