{"title":"A Personal Storytelling about Your Favorite Data","authors":"C. Labbé, C. Roncancio, D. Bras","doi":"10.18653/v1/W15-4727","DOIUrl":null,"url":null,"abstract":"A controlled use of omnipresent data can leverage a potential of services never reached before. In this paper, we propose a user driven approach to take advantage of massive data streams. Our solution, named Stream2Text, relies on a personalized and continuous refinement of data to generate texts (in natural language) that provide a tailored synthesis of relevant data. It enables monitoring by a wide range of users as text streams can be shared on social networks or used individually on mobile devices.","PeriodicalId":307841,"journal":{"name":"European Workshop on Natural Language Generation","volume":"245 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Workshop on Natural Language Generation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W15-4727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A controlled use of omnipresent data can leverage a potential of services never reached before. In this paper, we propose a user driven approach to take advantage of massive data streams. Our solution, named Stream2Text, relies on a personalized and continuous refinement of data to generate texts (in natural language) that provide a tailored synthesis of relevant data. It enables monitoring by a wide range of users as text streams can be shared on social networks or used individually on mobile devices.
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