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Neural approvals to conversational AI (1)
2022-07-07 11:30:00 【365JHWZGo】
《 Paper reading 》Neural Approaches to Conversational AI(1)
Question Answering, Task-oriented Dialogues and Social Chatbots
This week we will read Jianfeng Gao、Michel Galley and Lihong Li A paper written jointly
Abstract
- Overview of conversations in recent years AI Neural methods for domain development
- Divide the dialogue system into three categories , A review of the best neural methods for each class with specific systems and models , Discussion is different from traditional methods , The achievements we have made and the challenges we still need to face
brief introduction
The author comes straight to the point , Intelligent dialogue system should not only imitate human dialogue, but also answer various types of questions , This is the long-term goal of intelligent dialogue system , Fortunately, in-depth learning 、 Strengthen learning and apply it to conversation AI, Adding a large amount of data to the training process makes it promising to achieve this goal in academia .
This paper is an extension and supplement to the previous work , Not only in data and supervised learning , And this is also the first overview in conversation AI A neural approach to , On the target object NLP and IR The researchers .
The contribution of this paper lies in :
- The overview includes a unified view from the optimization decision
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