Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00364236" target="_blank" >RIV/68407700:21230/22:00364236 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/22:00359477 RIV/68407700:21730/22:00359477 RIV/68407700:21730/22:00364236
Result on the web
<a href="https://doi.org/10.18653/v1/2022.naacl-demo.5" target="_blank" >https://doi.org/10.18653/v1/2022.naacl-demo.5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2022.naacl-demo.5" target="_blank" >10.18653/v1/2022.naacl-demo.5</a>
Alternative languages
Result language
angličtina
Original language name
Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture
Original language description
This paper presents a conversational AI plat form called Flowstorm. Flowstorm is an open source SaaS project suitable for creating, run ning, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues created within the plat form can be executed in seconds. Furthermore, we propose a novel dialogue architecture that uses a combination of tree structures with gen erative models. The tree structures are also used for training NLU models suitable for spe cific dialogue scenarios. However, the gener ative models are globally used across applica tions and extend the functionality of the dia logue trees. Moreover, the platform function ality 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 essen tial 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
ISBN
978-1-955917-74-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
39-45
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
Stroudsburg
Event location
Seattle
Event date
Jul 10, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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