P19-3016@ACL

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#1 ADVISER: A Dialog System Framework for Education & Research [PDF] [Copy] [Kimi]

Authors: Daniel Ortega ; Dirk Väth ; Gianna Weber ; Lindsey Vanderlyn ; Maximilian Schmidt ; Moritz Völkel ; Zorica Karacevic ; Ngoc Thang Vu

In this paper, we present ADVISER - an open source dialog system framework for education and research purposes. This system supports multi-domain task-oriented conversations in two languages. It additionally provides a flexible architecture in which modules can be arbitrarily combined or exchanged - allowing for easy switching between rules-based and neural network based implementations. Furthermore, ADVISER offers a transparent, user-friendly framework designed for interdisciplinary collaboration: from a flexible back end, allowing easy integration of new features, to an intuitive graphical user interface supporting nontechnical users.