{"title":"Quantifiers Types Resolution in NL Software Requirements","authors":"Mehreen Saba, Imran Sarwar Bajwa","doi":"10.1109/MICAI.2013.49","DOIUrl":null,"url":null,"abstract":"Natural language quantifiers can be classified according to their semantic type in addition to their syntactic expression. Quantification in Natural language (NL) has two types, ambiguous quantification and Unambiguous quantification. Unambiguous quantification is very simple and also called exact quantification, but ambiguous quantification is complex and also called inexact quantification. Inexact quantifiers include \"many, much, a lot of, several, some, any, a few, little, fewer, fewest, Less, greater, at least, at most, more, exactly\". To identify the problems of Natural language Quantification, convert these Natural Language sentences into First order logic by attaching weights and classify these complex sentences by using Markov Logic.","PeriodicalId":340039,"journal":{"name":"2013 12th Mexican International Conference on Artificial Intelligence","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 12th Mexican International Conference on Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2013.49","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
Natural language quantifiers can be classified according to their semantic type in addition to their syntactic expression. Quantification in Natural language (NL) has two types, ambiguous quantification and Unambiguous quantification. Unambiguous quantification is very simple and also called exact quantification, but ambiguous quantification is complex and also called inexact quantification. Inexact quantifiers include "many, much, a lot of, several, some, any, a few, little, fewer, fewest, Less, greater, at least, at most, more, exactly". To identify the problems of Natural language Quantification, convert these Natural Language sentences into First order logic by attaching weights and classify these complex sentences by using Markov Logic.