语义驱动的智能前端

T. Gergely, Edit Halmay, Miklós Szöts, G. Suciu, Romulus Cheveresan
{"title":"语义驱动的智能前端","authors":"T. Gergely, Edit Halmay, Miklós Szöts, G. Suciu, Romulus Cheveresan","doi":"10.1109/SPED.2017.7990429","DOIUrl":null,"url":null,"abstract":"This paper presents the work done in the context of the Speech2Process project for Speech Dialogue System applied in call-centers, specifically in the banking domain. In our proposed solution, the client communicates with the system by natural language sentences, which will be automatically recognized and semantically analysed. The paper describes innovative features of the selected approach, which is based on knowledge representation, and concentrates on semantic processing, that is spoken language understanding (SLU) based on a cognitive semantics, namely Fillmore's frame semantics.","PeriodicalId":345314,"journal":{"name":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Semantics driven intelligent front-end\",\"authors\":\"T. Gergely, Edit Halmay, Miklós Szöts, G. Suciu, Romulus Cheveresan\",\"doi\":\"10.1109/SPED.2017.7990429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the work done in the context of the Speech2Process project for Speech Dialogue System applied in call-centers, specifically in the banking domain. In our proposed solution, the client communicates with the system by natural language sentences, which will be automatically recognized and semantically analysed. The paper describes innovative features of the selected approach, which is based on knowledge representation, and concentrates on semantic processing, that is spoken language understanding (SLU) based on a cognitive semantics, namely Fillmore's frame semantics.\",\"PeriodicalId\":345314,\"journal\":{\"name\":\"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPED.2017.7990429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPED.2017.7990429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文介绍了应用于呼叫中心,特别是银行领域的语音对话系统的Speech2Process项目所做的工作。在我们提出的解决方案中,客户端通过自然语言句子与系统通信,系统将自动识别和语义分析这些句子。本文描述了所选择的基于知识表示的方法的创新之处,并将重点放在语义处理上,即基于认知语义的口语理解(SLU),即Fillmore的框架语义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantics driven intelligent front-end
This paper presents the work done in the context of the Speech2Process project for Speech Dialogue System applied in call-centers, specifically in the banking domain. In our proposed solution, the client communicates with the system by natural language sentences, which will be automatically recognized and semantically analysed. The paper describes innovative features of the selected approach, which is based on knowledge representation, and concentrates on semantic processing, that is spoken language understanding (SLU) based on a cognitive semantics, namely Fillmore's frame semantics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信