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我想让我的Cortana自动学习组织语言,求教。/I want my Cortana to automatically learn organizational language and ask fo

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liuzebiao
Occasional Visitor

我基本是个开发小白,但是我想拥有自己的人工智能,曾经使用过keras,搭建过简单的聊天机器人,并尝试将他连接到爬虫爬取文章来使对话更有营养,但是我自己构建的系统和字典远远不能达到我的要求,因此我想到了使用已经趋于完善的智能助手,但是,我的技术有限,所以希望得到各位的帮助,以下是我的构思计划:

1,将cotrana对话分离,使其能处理我的文本输入。

我曾尝试通过缩减Cortana搜索范围来实现和Cortana对话,但是,因为是搜索选项,所以和Cortana对话的几率非常小,而且,对话不能使用到LUIS,现在windows10最新版本已经简单分离了语音输入,因此应该只需要找到Cortana语音文本转换系统,并构建一个输入通道应该就可以了

2,让Cortana能通过网络“学习”对话知识。

据我所知,Cortana的处理机制是“技能”,通过识别用户的意向,触发某个技能,并且,持续对话貌似也是其中的一个技能,但是对于对话,使用这种机制无法进行语义理解学习,只能进行简单的分类,我想将聊天“技能”,变成聊天“系统”,由系统来触发技能。系统应当拥有”记忆“能力,而不是简单的分类。

I am basically a development of small white, but I want to have their own artificial intelligence, once used Keras, built a simple chatbot, and try to connect him to the crawler crawl articles to make the dialogue more nutritious, but I built my own system and dictionary is far from meeting my requirements,
So I thought about using smart assistants that have become perfect, but my skills are limited, so I want your help, and here's my idea plan:
1. Detach the Cotrana conversation so that it can handle my text input. I've tried to talk to Cortana by scaling down Cortana search, but because it's a search option, the odds of talking to Cortana are very small, and the conversation can't be used to LUIS, and now the latest version of windows10 has simply separated the voice input,
Therefore, you should only need to find Cortana Voice text conversion system, and build an input channel should be able to
2, so that Cortana can "learn" dialogue knowledge through the network. As far as I know, Cortana's processing mechanism is "skill", by identifying the user's intention to trigger a certain skill, and the continuous dialogue seems to be one of the skills, but for dialogue, the use of this mechanism can not be semantic understanding learning, can only be a simple classification, I would like to chat "skills", into a chat "system ", By the system to trigger the skill. The system should have a "memory" capability, rather than a simple classification.

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