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Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture

arXiv 2212.09377 ↗First posted 19 Dec 2022cs.AIcited by 0

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Abstract (arXiv)

This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues created within the platform can be executed in seconds. Furthermore, we propose a novel dialogue architecture that uses a combination of tree structures with generative models. The tree structures are also used for training NLU models suitable for specific dialogue scenarios. However, the generative models are globally used across applications and extend the functionality of the dialogue trees. Moreover, the platform functionality benefits from out-of-the-box components, such as the one responsible for extracting data from utterances or working with crawled data. Additionally, it can be extended using a custom code directly in the platform. One of the essential features of the platform is the possibility to reuse the created assets across applications. There is a library of prepared assets where each developer can contribute. All of the features are available through a user-friendly visual editor.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 13 references that are in the map. First posted on arXiv 19 Dec 2022.

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6 of 13 references.

References · 6

  1. 2015Bidirectional LSTM-CRF Models for Sequence Taggingcited by 544
  2. 2018Universal Sentence Encodercited by 485
  3. 2017Rasa: Open Source Language Understanding and Dialogue Managementcited by 67
  4. 2021Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systemscited by 14
  5. 2021Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalizationcited by 9
  6. 2020Do We Need Online NLU Tools?cited by 3

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