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A proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      Springer
    • الموضوع:
      2022
    • Collection:
      DIGIBUG: Repositorio Institucional de la Universidad de Granada
    • نبذة مختصرة :
      Conversational interfaces have recently become ubiquitous in the personal sphere by improving an individual’s quality of life and industrial environments by automating services and their corre- sponding cost savings. However, designing the dialog model used by these interfaces to decide the following response is a hard-to-accomplish task for complex conversational interactions. This paper proposes a statistical-based dialog manager architecture, which provides flexibility to develop and maintain this module. Our proposal has been integrated using DialogFlow, a natural language understanding platform provided by Google to design conversational user interfaces. The proposed hybrid architecture has been assessed with a real use case for a train scheduling domain, proving that the user experience is highly valued and can be integrated into commercial setups
    • Relation:
      info:eu-repo/grantAgreement/EC/H2020/823907; CAVIAR project (MINECO, TEC2017-84593-C2-1-R, AEI/FEDER, UE); GOMINOLA project (PID2020-118112RB-C21 and PID2020-118112RB-C22, funded by MCIN/AEI/10.13039/501100011033); This is a pre-print version of the chapter: Cañas, P., Griol, D., Callejas, Z. (2022). A Proposal for Developing and Deploying Statistical Dialog Management in Commercial Conversational Platforms. In: , et al. Hybrid Artificial Intelli- gent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10. 1007/978-3-031-15471-3_35 (https://link.springer.com/chapter/10.1007/978-3-031-15471-3_35); https://hdl.handle.net/10481/80260; https://doi.org/10.1007/978-3-031-15471-3_35
    • الرقم المعرف:
      10.1007/978-3-031-15471-3_35
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.986DFF0D