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.

本文提出了一个名为 Flowstorm 的对话式 AI 平台，其使用了树结构和生成模型的组合对话式架构以及 NLU 模型进行训练，在 SaaS 项目中提供对话应用的快速构建与分析功能。

Flowstorm：混合对话架构的开源平台

Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture

With the rapid explosion of the World Wide Web, it is becoming increasingly
possible to easily acquire a wide variety of information such as flight
schedules, yellow pages, used car prices, current stock prices, entertainment
event schedules, account balances, etc. It would be very useful to have spoken
dialogue interfaces for such information access tasks. We identify portability,
usability, robustness, and extensibility as the four primary design objectives
for such systems. In other words, the objective is to develop a PURE (Portable,
Usable, Robust, Extensible) system. A two-layered dialogue architecture for
spoken dialogue systems is presented where the upper layer is
domain-independent and the lower layer is domain-specific. We are implementing
this architecture in a mixed-initiative system that accesses flight
arrival/departure information from the World Wide Web.

本文介绍了口语对话系统的两层对话架构，实现了从互联网获取航班到达 / 离开信息的混合式自动对话系统，旨在解决口语对话接口的可移植性、可用性、稳健性和可扩展性等问题。