{"title":"“我能为你做些什么?”——寻求技术帮助的口头询问","authors":"D. Wilson, Aqueasha M. Martin, J. Gilbert","doi":"10.1145/1900008.1900068","DOIUrl":null,"url":null,"abstract":"Spoken dialog systems, including interactive assistants, have emerged as a viable option for presenting technical communication. Thus has contributed to interests in improving the effectiveness and design of such systems through natural language. Traditional methods of natural language processing include parts-of-speech tagging, syntactic parsing, and statistical models. This paper introduces a new conversational question answering methodology, Answer First (A1) that bypasses traditional methods and removes the need for preprocessing of queries.","PeriodicalId":333104,"journal":{"name":"ACM SE '10","volume":"29 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"'How may I help you'-spoken queries for technical assistance\",\"authors\":\"D. Wilson, Aqueasha M. Martin, J. Gilbert\",\"doi\":\"10.1145/1900008.1900068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spoken dialog systems, including interactive assistants, have emerged as a viable option for presenting technical communication. Thus has contributed to interests in improving the effectiveness and design of such systems through natural language. Traditional methods of natural language processing include parts-of-speech tagging, syntactic parsing, and statistical models. This paper introduces a new conversational question answering methodology, Answer First (A1) that bypasses traditional methods and removes the need for preprocessing of queries.\",\"PeriodicalId\":333104,\"journal\":{\"name\":\"ACM SE '10\",\"volume\":\"29 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SE '10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1900008.1900068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SE '10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1900008.1900068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
'How may I help you'-spoken queries for technical assistance
Spoken dialog systems, including interactive assistants, have emerged as a viable option for presenting technical communication. Thus has contributed to interests in improving the effectiveness and design of such systems through natural language. Traditional methods of natural language processing include parts-of-speech tagging, syntactic parsing, and statistical models. This paper introduces a new conversational question answering methodology, Answer First (A1) that bypasses traditional methods and removes the need for preprocessing of queries.