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Authors: Manex Serras 1 ; María Inés Torres 2 and Arantza del Pozo 1

Affiliations: 1 Speech and Natural Language Technologies, Vicomtech, Paseo Mikeletegi 57, Donostia-San Sebastian and Spain ; 2 Speech Interactive Research Group, Universidad del País Vasco UPV/EHU, Campus of Leioa, Leioa and Spain

ISBN: 978-989-758-351-3

Keyword(s): Dialogue Systems, Stochastic Bi-Automata, User Modeling.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Software Engineering ; Symbolic Systems ; Virtual Environments

Abstract: User Models (UM) are commonly employed to train and evaluate dialogue systems as they generate dialogue samples that simulate end-user behavior. This paper presents a stochastic approach for user modeling based in Attributed Probabilistic Finite State Bi-Automata (A-PFSBA). This framework allows the user model to be conditioned by the dialogue goal in task-oriented dialogue scenarios. In addition, the work proposes two novel smoothing policies that employ the K-nearest A-PFSBA states to infer the next UM action in unseen interactions. Experiments on the Dialogue State Tracking Challenge 2 (DSTC2) corpus provide results similar to the ones obtained through deep learning based user modeling approaches in terms of F1 measure. However the proposed Bi-Automata User Model (BAUM) requires less resources both of memory and computing time.

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Paper citation in several formats:
Serras, M.; Torres, M. and del Pozo, A. (2019). Goal-conditioned User Modeling for Dialogue Systems using Stochastic Bi-Automata.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 128-134. DOI: 10.5220/0007359401280134

@conference{icpram19,
author={Manex Serras. and María Inés Torres. and Arantza del Pozo.},
title={Goal-conditioned User Modeling for Dialogue Systems using Stochastic Bi-Automata},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={128-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007359401280134},
isbn={978-989-758-351-3},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Goal-conditioned User Modeling for Dialogue Systems using Stochastic Bi-Automata
SN - 978-989-758-351-3
AU - Serras, M.
AU - Torres, M.
AU - del Pozo, A.
PY - 2019
SP - 128
EP - 134
DO - 10.5220/0007359401280134

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