Towards Automated Counselling Decision-Making: Remarks on Therapist Action Forecasting on the AnnoMI Dataset (INTERSPEECH 2022)
- Code for our INTERSPEECH 2022 paper titled "Towards Automated Counselling Decision-Making: Remarks on Therapist Action Forecasting on the AnnoMI Dataset"
- Note that $REPO is the folder of the repository (i.e. the folder where you see this README), after
git clone
.
cd $REPO
# install Conda environment
conda env create -f ./environment.yml
conda activate interspeechmi
# install the module
pushd $REPO/interspeechmi
python3 -m build
pip install -e .
popd
bash $REPO/interspeechmi/sh_scripts/run_and_collect_results.sh
(may take days to complete depending on your hardware)- Use Jupyter Notebook to run
$REPO/interspeechmi/py_scripts/plot_code_forecast_scores.ipynb
, and you'll be able to see the figures that summarise the performances under different settings.
- AnnoMI (Wu et al. 2021)
@inproceedings{wu22c_interspeech,
author={Zixiu Wu and Rim Helaoui and Diego {Reforgiato Recupero} and Daniele Riboni},
title={{Towards Automated Counselling Decision-Making: Remarks on Therapist Action Forecasting on the AnnoMI Dataset}},
year=2022,
booktitle={Proc. Interspeech 2022},
pages={1906--1910},
doi={10.21437/Interspeech.2022-506}
}