智能互动行为聊天机器人:理论原型

Saleh Alwahaishi
{"title":"智能互动行为聊天机器人:理论原型","authors":"Saleh Alwahaishi","doi":"10.1109/ieCRES57315.2023.10209534","DOIUrl":null,"url":null,"abstract":"In recent years, significant advancements have been made in speech and language understanding research, with a particular focus on the development of conversational dialog systems between humans and machines. These systems, also recognized as chatbots, interactive conversational agents, or dialog systems, have broad applications, including technical support services, language entertainment, and learning. The emergence of deep neural networks has surged research efforts aimed at building data-driven dialog models. In this study, a novel approach is introduced that incorporates emotions extracted from various sources to design a smart and interactive chatbot.","PeriodicalId":431920,"journal":{"name":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Smart Interactive Behavioral Chatbot: A Theoretical Prototype\",\"authors\":\"Saleh Alwahaishi\",\"doi\":\"10.1109/ieCRES57315.2023.10209534\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, significant advancements have been made in speech and language understanding research, with a particular focus on the development of conversational dialog systems between humans and machines. These systems, also recognized as chatbots, interactive conversational agents, or dialog systems, have broad applications, including technical support services, language entertainment, and learning. The emergence of deep neural networks has surged research efforts aimed at building data-driven dialog models. In this study, a novel approach is introduced that incorporates emotions extracted from various sources to design a smart and interactive chatbot.\",\"PeriodicalId\":431920,\"journal\":{\"name\":\"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ieCRES57315.2023.10209534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 8th International Engineering Conference on Renewable Energy & Sustainability (ieCRES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ieCRES57315.2023.10209534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来,语音和语言理解研究取得了重大进展,特别关注人与机器之间的会话对话系统的发展。这些系统也被认为是聊天机器人、交互式会话代理或对话系统,具有广泛的应用,包括技术支持服务、语言娱乐和学习。深度神经网络的出现推动了旨在构建数据驱动对话模型的研究。在这项研究中,引入了一种新的方法,将从各种来源提取的情感结合在一起,设计了一个智能的交互式聊天机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Interactive Behavioral Chatbot: A Theoretical Prototype
In recent years, significant advancements have been made in speech and language understanding research, with a particular focus on the development of conversational dialog systems between humans and machines. These systems, also recognized as chatbots, interactive conversational agents, or dialog systems, have broad applications, including technical support services, language entertainment, and learning. The emergence of deep neural networks has surged research efforts aimed at building data-driven dialog models. In this study, a novel approach is introduced that incorporates emotions extracted from various sources to design a smart and interactive chatbot.
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