LUIS(Microsoft认知服务)的用例 [英] use case for LUIS (Microsoft Cognitive Service)

问题描述

我们想使用LUIS从用户问题中获取实体和意图并标识属于我们域的实体，因此我们正在做的是使用来自上下文域的许多实体来训练LUIS.这是对LUIS的有效且正确"的使用吗?

we want to use LUIS to get the entities and intent from a user question and identify the entities that belong to our domain, so what we're doing is training LUIS with a lot of entities that comes from our context domain. Is this a valid and "correct" use of LUIS?

谢谢

推荐答案

我正在创建一个搜索引擎，以查找具有非常特定术语的医学文档.为此，我正在用这种单词或标签作为实体"来训练LUIS.

I'm creating a search engine to find in medical documents with a very specific terms. For this I'm training LUIS with this kind of words or tags as "entities".

是的，您是正确的.您所指的医学术语应该是实体.

Yes you are right. The medical term you are referring to are suppose to be entities.

但是这种方法暗示着LUIS中的大量术语

But this approach implies a big bulk of terms in LUIS

如果仅在术语上存在差异，即您的话语是类似的

If there is a difference only in the term i.e if your utterances are like

• 搜索
• 搜索b

然后，您可以在LUIS中将a和b添加为短语列表，这样就不必继续为每个术语重复发音.您可以查看如何添加词组列表.如果您在第三点看到的话，您会看到在输入城市名称时输入了许多城市值.您可以对需要搜索的医学术语进行相同的操作.

Then you can add a and b as a phrase list in LUIS, in this way you don't have to keep repeating the utterance for each term. You can check out how to add phrase list. If you look at the 3rd point there you can see that for the name City many city values are being entered. You can do the same with the medical terms you need to search.

通过这种方式，您可以通过检查实体值在服务器端获取医学条款.

In this way you can get the medical terms at your server side by inspecting the entity value.

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