{"title":"Automated question answering: review of the main approaches","authors":"A. Andrenucci, E. Sneiders","doi":"10.1109/ICITA.2005.78","DOIUrl":null,"url":null,"abstract":"Automated question-answering aims at delivering concise information that contains answers to user questions. This paper reviews and compares three main question-answering approaches based on natural language processing, information retrieval and question templates, eliciting their differences and the context of application that best suits each of them.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"78","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 78
Abstract
Automated question-answering aims at delivering concise information that contains answers to user questions. This paper reviews and compares three main question-answering approaches based on natural language processing, information retrieval and question templates, eliciting their differences and the context of application that best suits each of them.
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