@inproceedings{pichl-etal-2022-flowstorm,
title = "Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture",
author = "Pichl, Jan and
Marek, Petr and
Konr{\'a}d, Jakub and
Lorenc, Petr and
Kobza, Ondrej and
Zaj{\'\i}{\v{c}}ek, Tom{\'a}{\v{s}} and
{\v{S}}ediv{\'y}, Jan",
editor = "Hajishirzi, Hannaneh and
Ning, Qiang and
Sil, Avi",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations",
month = jul,
year = "2022",
address = "Hybrid: Seattle, Washington + Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-demo.5",
doi = "10.18653/v1/2022.naacl-demo.5",
pages = "39--45",
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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<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.</abstract>
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%0 Conference Proceedings
%T Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture
%A Pichl, Jan
%A Marek, Petr
%A Konrád, Jakub
%A Lorenc, Petr
%A Kobza, Ondrej
%A Zajíček, Tomáš
%A Šedivý, Jan
%Y Hajishirzi, Hannaneh
%Y Ning, Qiang
%Y Sil, Avi
%S Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
%D 2022
%8 July
%I Association for Computational Linguistics
%C Hybrid: Seattle, Washington + Online
%F pichl-etal-2022-flowstorm
%X 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.
%R 10.18653/v1/2022.naacl-demo.5
%U https://aclanthology.org/2022.naacl-demo.5
%U https://doi.org/10.18653/v1/2022.naacl-demo.5
%P 39-45
Markdown (Informal)
[Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture](https://aclanthology.org/2022.naacl-demo.5) (Pichl et al., NAACL 2022)
ACL
- Jan Pichl, Petr Marek, Jakub Konrád, Petr Lorenc, Ondrej Kobza, Tomáš Zajíček, and Jan Šedivý. 2022. Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, pages 39–45, Hybrid: Seattle, Washington + Online. Association for Computational Linguistics.