Using Multimodal Information to Enhance Addressee Detection in Multiparty Interaction

Usman Malik, Mukesh Barange, Julien Saunier, Alexandre Pauchet

Abstract

Addressee detection is an important challenge to tackle in order to improve dialogical interactions between humans and agents. This detection, essential for turn-taking models, is a hard task in multiparty conditions. Rule based as well as statistical approaches have been explored. Statistical approaches, particularly deep learning approaches, require a huge amount of data to train. However, smart feature selection can help improve addressee detection on small datasets, particularly if multimodal information is available. In this article, we propose a statistical approach based on smart feature selection that exploits contextual and multimodal information for addressee detection. The results show that our model outperforms an existing baseline.

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Paper Citation


in Harvard Style

Malik U., Barange M., Saunier J. and Pauchet A. (2019). Using Multimodal Information to Enhance Addressee Detection in Multiparty Interaction.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-350-6, pages 267-274. DOI: 10.5220/0007574602670274


in Bibtex Style

@conference{icaart19,
author={Usman Malik and Mukesh Barange and Julien Saunier and Alexandre Pauchet},
title={Using Multimodal Information to Enhance Addressee Detection in Multiparty Interaction},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2019},
pages={267-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007574602670274},
isbn={978-989-758-350-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Using Multimodal Information to Enhance Addressee Detection in Multiparty Interaction
SN - 978-989-758-350-6
AU - Malik U.
AU - Barange M.
AU - Saunier J.
AU - Pauchet A.
PY - 2019
SP - 267
EP - 274
DO - 10.5220/0007574602670274