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Towards building an affect-aware dialogue agent with deep neural networks
CSI Transactions on ICT Pub Date : 2020-06-23 , DOI: 10.1007/s40012-020-00304-5
Asif Ekbal

In this paper, some of the recent developments, aiming at building human-like Conversational Artificial Intelligence (AI) agents, have been presented very briefly. These robust dialogue systems are capable in dealing with the various affect attributes, such as sentiment, emotion, and courteousness. Firstly, the motivation, background and impact of these new frontiers of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) have been described. Thereafter, two of our very recent research have been presented, where the first one attempts at incorporating courteousness in a dialogue agent, and the second one addresses natural language generation in a multi-modal setup involving text and images both.

中文翻译:

致力于通过深度神经网络构建情感感知对话代理

在本文中,已经非常简短地介绍了一些近期的进展,这些进展旨在构建类似于人的对话式人工智能(AI)代理。这些强大的对话系统能够处理各种情感属性,例如情绪,情感和礼貌。首先,描述了人工智能(AI),机器学习(ML)和自然语言处理(NLP)这些新领域的动机,背景和影响。此后,我们提出了两项​​最近的研究,其中第一个尝试将礼貌纳入对话主体中,第二个尝试在涉及文本和图像的多模式设置中解决自然语言生成问题。
更新日期:2020-06-23
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