Chatbots

chatbot

Demo appointment type-2

  • A chatbot is a conversational AI system that is able to communicate with a human in a natural language.

  • It can be integrated into websites, messaging platforms, and devices.

  • Companies can delegate routine tasks to a chatbot

    • which will be able to process multiple user requests simultaneously

  • Chatbots are always available to assist the users and provide huge labor cost savings.

Two groups of chatbots

  • Rule Based

    • Rely on predefined commands and templates.
    • Each of these commands should be written by a chatbot developer using regular expressions and textual data analysis

  • Data-Driven

    • Rely on machine learning (ML) models pre-trained on dialogue data.

Main parts of the chatbot

  • Natural Language Understanding (NLU)

    • chatbot needs to understand utterances in a natural language
    • NLU translates a user query from natural language into a labeled semantic representation.
    • Example: The following in English:
    What is the rental price in Boston?
    • will be translated into:
rent_price("Boston")

  • Then chatbot has to decide what is expected of it

  • Dialogue Manager (DM)

    • keeps track of the dialogue state and decides what should be answered to the user.

  • Natural Language Generator (NLG)

    • translates a semantic representation back into human language
    • Example:
    rent_price_in_USD("Boston") = 2500
  • will be translated to:
 The average rent price in Boston is around $2,500

chatbot components

Let us build a chatbot

The smallest building block of the library is Component. Component stands for any kind of function in an NLP pipeline. It can be implemented as:

  • a neural network
  • a non-neural ML model
  • a rule-based system. Besides that, Component can have a nested structure, i.e. Component can include other Components.

Components can be joined into Skill.

  • Skill solves a larger NLP task compared to Component. However, in terms of implementation Skills are not different from Components.

Agent is supposed to be a multi-purpose dialogue system that comprises several Skills and can switch between them. It can be a dialogue system that contains a goal-oriented and chatbot skills and chooses which one to use for generating the answer depending on an user input.

openAI Chat

OpenAI chat

References