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Slot Sharing Mechanism in Multi-domain Dialogue Systems

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Intelligent Systems (BRACIS 2021)

Abstract

Task-oriented dialogue systems are very important due to their wide range of applications. In particular, those tasks that involve multiple domains have gained increasing attention in recent years, as the actual tasks performed by virtual assistants often span multiple domains. In this work, we propose the Divide-and-Conquer Distributed Architecture with Slot Sharing Mechanism (DCDA-S2M) system, which includes not only a distributed system aimed at managing dialogues through the pipeline architecture, but also a slot sharing mechanism that allows the system to obtain information during a conversation in one domain and reuse it in another domain, in order to avoid redundant interactions and make the dialogue more efficient. Results show that the distributed architecture outperforms the centralized one by 21.51% and that the slot sharing mechanism improves the system performance both in the success rate and in the number of turns during the dialogue, demonstrating that it can prevent the agent from requesting redundant information.

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Notes

  1. 1.

    MultiWOZ is a fully-labeled collection of human-human written conversations spanning over multiple domains and topics – https://github.com/budzianowski/multiwoz.

  2. 2.

    https://github.com/thu-coai/ConvLab-2.

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Acknowledgments

The authors acknowledge the support from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq grant 310085/2020-9), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES Finance Code 001), and from Itaú Unibanco, through the scholarship program of Programa de Bolsas Itaú (PBI).

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Correspondence to Bruno Eidi Nishimoto .

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Nishimoto, B.E., Costa, A.H.R. (2021). Slot Sharing Mechanism in Multi-domain Dialogue Systems. In: Britto, A., Valdivia Delgado, K. (eds) Intelligent Systems. BRACIS 2021. Lecture Notes in Computer Science(), vol 13073. Springer, Cham. https://doi.org/10.1007/978-3-030-91702-9_7

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  • DOI: https://doi.org/10.1007/978-3-030-91702-9_7

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