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Personalizing Hybrid-Based Dialogue Agents

Author

Listed:
  • Yuri Matveev

    (Information Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, Russia)

  • Olesia Makhnytkina

    (Information Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, Russia)

  • Pavel Posokhov

    (Information Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, Russia)

  • Anton Matveev

    (Information Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, Russia)

  • Stepan Skrylnikov

    (Information Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, Russia)

Abstract

In this paper, we present a continuation of our work on the personification of dialogue agents. We expand upon the previously demonstrated models—the ranking and generative models—and propose new hybrid models. Because there is no single definitive way to build a hybrid model, we explore various architectures where the components adopt different roles, sequentially and in parallel. Applying the perplexity and BLEU performance metrics, we discover that the Retrieve and Refine and KG model—a modification of the Retrieve and Refine model where the ranking and generative components work in parallel and compete based on the proximity of the candidate found by the ranking model with a knowledge-grounded generation block—achieves the best performance, with values of 1.64 for perplexity and 0.231 for BLEU scores.

Suggested Citation

  • Yuri Matveev & Olesia Makhnytkina & Pavel Posokhov & Anton Matveev & Stepan Skrylnikov, 2022. "Personalizing Hybrid-Based Dialogue Agents," Mathematics, MDPI, vol. 10(24), pages 1-17, December.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:24:p:4657-:d:997853
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    References listed on IDEAS

    as
    1. Anton Matveev & Olesia Makhnytkina & Yuri Matveev & Aleksei Svischev & Polina Korobova & Alexandr Rybin & Artem Akulov, 2021. "Virtual Dialogue Assistant for Remote Exams," Mathematics, MDPI, vol. 9(18), pages 1-16, September.
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