MVP: Microsoft Azure

Cognitive Services Episode 5 - Natural search with the Linguistics API

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Description

So far in this course, we saw the high level AI concepts and we built a chatbot bound to a LUIS app. Our bot is already able to respond to IT-related questions and can tackle day-to-day conversations thanks to QnA Maker.

While QnA Maker is a great tool for textual questions/answers scenarios, it cannot be used when dealing with documents or data stored within a database and customers are not always willing to relocate their information into QnA Maker even when feasible. 

In this episode, we'll see how to take advantage of another Cognitive Service, namely the Linguistic Analysis API to perform Natural Search Queries against external sources of information. I will show two use-cases: querying a SharePoint document center and interacting with a SQL database but the principles depicted here may be used to query any kind of information system.

Tags:

Natural Language Processing, AI, bot framework

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The Discussion

  • User profile image
    HarshBot

    This is great Stephane. Good thought process behind using linguistic service. Very useful resource.

  • User profile image
    stephaneey

    @HarshBot:thanks :)

  • User profile image
    Dimple Kanwar

    Hi Stephan,

    Thank you for sharing the great knowledge.
    I wanted to check that what are the requirements to adopt/implement this technology (NLP, POS, LUIS)in a search engine to improve the efficiency.

    Thanks

  • User profile image
    stephaneey

    Hello,

    I'd say that for the time being, you should have some risk appetite as most of these are still in preview but other than that, you also need to pay attention to the target languages as capabilities (precision/recall etc.) vary from one language to another. 

    Best Regards

  • User profile image
    Himanshu

    Hey Stephane, From where we can download the lemmasharp dlls?

  • User profile image
    stephaneey

    @Himanshu:Hello, you can install the Sparc.TagCloud NuGet package as it ships with the lemma libraries. 

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