Correction to: Transfer Hierarchical Attention Network for Generative Dialog System

IF 3.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xiang Zhang, Qiang Yang
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引用次数: 9

Abstract

The article Transfer Hierarchical Attention Network for Generative Dialog System written by Xiang Zhang and Qiang Yang, was originally published on vol. 16, no. 6 of International Journal of Automation and Computing without Open Access. After publication, the authors decided to opt for Open Choice and to make the article an Open Access publication. Therefore, the copyright of the article has been changed to © The Author(s) 2020 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (https://doi.org/creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
对生成对话系统的转移层次注意力网络的修正
张翔、杨强的文章《面向生成式对话系统的层次注意力网络转移》发表于《国际自动化与计算杂志》第16卷第6期。发表后,作者决定选择开放选择,并使文章成为开放获取出版物。因此,该文章的版权已更改为©作者2020,并根据知识共享署名4.0国际许可条款立即分发(https://doi.org/creativecommons.org/licenses/by/4.0/),允许以任何媒介或格式使用、复制、改编、分发和复制,只要您对原作者和来源给予适当的信任,提供到知识共享许可证的链接,并说明是否进行了更改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
975
期刊介绍: Machine Intelligence Research (original title: International Journal of Automation and Computing) is published by Springer and sponsored by the Institute of Automation, Chinese Academy of Sciences. The journal publishes high-quality papers on original theoretical and experimental research, targets special issues on emerging topics, and strives to bridge the gap between theoretical research and practical applications. Topics of Machine Intelligence Research include: ? AI Fundamentals ? Brain-Inspired Intelligence ? Pattern Recognition & Machine Learning ? Machine Vision ? Speech and Language Processing ? Robotics ? Knowledge Discovery & Data Mining ?Applications of Machine Intelligence
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