Y. Rastegari, H. Abolhassani, B. Zibanezhad, Mohsen Sayadiharikandeh
{"title":"Collecting positive instances of “instance-of” relationship in the Persian language","authors":"Y. Rastegari, H. Abolhassani, B. Zibanezhad, Mohsen Sayadiharikandeh","doi":"10.1109/ICECTECH.2010.5479991","DOIUrl":null,"url":null,"abstract":"Fetching Lexico-Syntactic patterns from text rely on pairs of words (positive instances) that represent the target relation, and finding their simultaneous occurrence in text corpus. Due to existence of WordNet thesaurus (which contains the semantic relationship between words), collecting positive instances is easy. In non-english languages, it's hard to collect large number of positive instances in various contexts. We investigated some new ideas for collecting them in Persian language and finally run the best one and collected approximately 6,000 positive instances.","PeriodicalId":178300,"journal":{"name":"2010 2nd International Conference on Electronic Computer Technology","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Electronic Computer Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECTECH.2010.5479991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fetching Lexico-Syntactic patterns from text rely on pairs of words (positive instances) that represent the target relation, and finding their simultaneous occurrence in text corpus. Due to existence of WordNet thesaurus (which contains the semantic relationship between words), collecting positive instances is easy. In non-english languages, it's hard to collect large number of positive instances in various contexts. We investigated some new ideas for collecting them in Persian language and finally run the best one and collected approximately 6,000 positive instances.