{"title":"会话类aac通信的集合","authors":"K. Vertanen","doi":"10.1145/2513383.2513388","DOIUrl":null,"url":null,"abstract":"We contribute a public test set of everyday conversational communications. The communications were written in response to ten hypothetical situations given to workers on the crowdsourcing site Amazon Mechanical Turk. After quality control, our public dataset consists of 1,506 unique communications. These communications can be used to help design and evaluate text-based predictive communication aids. The collection also provides a common public test set for research into predictive conversational text entry.","PeriodicalId":378932,"journal":{"name":"Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A collection of conversational AAC-like communications\",\"authors\":\"K. Vertanen\",\"doi\":\"10.1145/2513383.2513388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We contribute a public test set of everyday conversational communications. The communications were written in response to ten hypothetical situations given to workers on the crowdsourcing site Amazon Mechanical Turk. After quality control, our public dataset consists of 1,506 unique communications. These communications can be used to help design and evaluate text-based predictive communication aids. The collection also provides a common public test set for research into predictive conversational text entry.\",\"PeriodicalId\":378932,\"journal\":{\"name\":\"Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2513383.2513388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2513383.2513388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A collection of conversational AAC-like communications
We contribute a public test set of everyday conversational communications. The communications were written in response to ten hypothetical situations given to workers on the crowdsourcing site Amazon Mechanical Turk. After quality control, our public dataset consists of 1,506 unique communications. These communications can be used to help design and evaluate text-based predictive communication aids. The collection also provides a common public test set for research into predictive conversational text entry.