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Approaching Natural Conversation Chatbots by Interactive Dialogue Modelling & Microsoft LUIS

Abstract

In this paper, we preset guidelines on how to model a dialogue-based conversation with a chatbot build on Microsoft conversational services. Therefore, we created a free framework which manages dialogues and user sessions. For this purpose, we use a systematic classification of the input and intents. Especially, we used Microsoft Language Understanding Intelligent Service (LUIS) for intent extraction. LUIS provides a platform to extract the user need by calculating the intent probability. Unfortunately, LUIS does not provide dialogue management. For that reason, developers need to create own dialogue behavior in Visual Studio project. Therefore, we extracted and use it as a free guideline for the community and other platform developers.

BibTeX

@inproceedings{wachtel_approaching_2019,
author = {A. {Wachtel} and D. {Fuchß} and S. {Schulz} and W. F. {Tichy}},
booktitle = {2019 IEEE International Conference on Conversational Data Knowledge Engineering (CDKE)},
title = {Approaching Natural Conversation Chatbots by Interactive Dialogue Modelling Microsoft LUIS},
year = {2019}
}