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Code and experiment of the article AidMe User-in-the-loop Adaptative Intent Detecttion for Instructable Digital Assistant

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AidMe

This the code of the paper User-in-the-loop adaptive intent detection for instructable digital assistant that was published at IUI'20 (Intelligent User Interface)

The article is available here https://dl.acm.org/doi/abs/10.1145/3377325.3377490 or on arxiv

Installation

Requirements: Conda and gcc

  • You will need Conda (prefer miniconda, see here for installation) to create a virtual environment and install the required packages. If you need to install conda, you will have to close the terminal window and reopen it before proceeding to the following instructions.

  • You will also need gcc on Linux (sudo apt-get install gcc).

Dependencies

Creata a virtual environment and install dependencies:

conda env create -f requirements.yml

Activate the environment

conda activate aidme

You can then run setup.sh to download some necessary data :

bash setup.sh

Reproducing demos

To be continued

Citation :

@inproceedings{10.1145/3377325.3377490,
author = {Lair, Nicolas and Delgrange, Clement and Mugisha, David and Dussoux, Jean-Michel and Oudeyer, Pierre-Yves and Dominey, Peter Ford},
title = {User-in-the-Loop Adaptive Intent Detection for Instructable Digital Assistant},
year = {2020},
isbn = {9781450371186},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3377325.3377490},
doi = {10.1145/3377325.3377490},
booktitle = {Proceedings of the 25th International Conference on Intelligent User Interfaces},
pages = {116–127},
numpages = {12},
keywords = {digital assistant, user-in-the-loop, learning by interaction, intent detection, natural language processing, multi-domain},
location = {Cagliari, Italy},
series = {IUI ’20}
}

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Code and experiment of the article AidMe User-in-the-loop Adaptative Intent Detecttion for Instructable Digital Assistant

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