Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00359477" target="_blank" >RIV/68407700:21230/22:00359477 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/22:00359477 RIV/68407700:21230/22:00364236 RIV/68407700:21730/22:00364236

Result on the web

<a href="https://aclanthology.org/2022.naacl-demo.5/" target="_blank" >https://aclanthology.org/2022.naacl-demo.5/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture

Original language description

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.

Czech name

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Czech description

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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)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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

000860930500005