Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture
December 19, 2022 Β· Declared Dead Β· π North American Chapter of the Association for Computational Linguistics
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Authors
Jan Pichl, Petr Marek, Jakub KonrΓ‘d, Petr Lorenc, OndΕej Kobza, TomΓ‘Ε‘ ZajΓΔek, Jan Ε edivΓ½
arXiv ID
2212.09377
Category
cs.AI: Artificial Intelligence
Citations
1
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
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.
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