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Adaptive Task-Oriented Chatbots Using Feature-Based Knowledge Bases

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Intelligent Information Systems (CAiSE 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 477))

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Abstract

Task-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, including adaptive knowledge mechanisms, personalization for user-specific demands, and composite intent resolution. To address these challenges, in this paper, we present a work-in-progress summary of a task-oriented, knowledge-based chatbot in the field of mobile software ecosystems. The chatbot is designed to assist users in the combined use of multiple features from different applications. The proposed knowledge base and the machine learning pipeline supporting the chatbot technical core are designed to: (i) effectively use user context, (ii) process runtime feedback, (iii) use user historical data, and (iv) automatically infer slot values and dependent actions. With this report, we expect to lay the groundwork for future development stages and user validation studies.

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Notes

  1. 1.

    Available at: https://github.com/gessi-chatbots/knowledge_based_chatbot.

  2. 2.

    RASA: Open-source conversational AI framework: https://rasa.com/.

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Acknowledgments

With the support from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund. This paper has been funded by the Spanish Ministerio de Ciencia e Innovación under project/funding scheme PID2020-117191RB-I00/AEI/10.13039/501100011033.

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Authors and Affiliations

  1. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

    Carla Campàs, Quim Motger & Xavier Franch

  2. Department of Computer Science, Universitat Politècnica de Catalunya, Barcelona, Spain

    Jordi Marco

Authors
  1. Carla Campàs
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  2. Quim Motger
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  3. Xavier Franch
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  4. Jordi Marco
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Corresponding author

Correspondence to Quim Motger .

Editor information

Editors and Affiliations

  1. Universidad de Sevilla, Seville, Spain

    Cristina Cabanillas

  2. San Jorge University, Zaragoza, Spain

    Francisca Pérez

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Campàs, C., Motger, Q., Franch, X., Marco, J. (2023). Adaptive Task-Oriented Chatbots Using Feature-Based Knowledge Bases. In: Cabanillas, C., Pérez, F. (eds) Intelligent Information Systems. CAiSE 2023. Lecture Notes in Business Information Processing, vol 477. Springer, Cham. https://doi.org/10.1007/978-3-031-34674-3_12

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  • DOI: https://doi.org/10.1007/978-3-031-34674-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34673-6

  • Online ISBN: 978-3-031-34674-3

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