Zorica Karacevic
2019
ADVISER: A Dialog System Framework for Education & Research
Daniel Ortega
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Dirk Väth
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Gianna Weber
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Lindsey Vanderlyn
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Maximilian Schmidt
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Moritz Völkel
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Zorica Karacevic
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Ngoc Thang Vu
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
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.
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Co-authors
- Daniel Ortega 1
- Dirk Väth 1
- Gianna Weber 1
- Lindsey Vanderlyn 1
- Maximilian Schmidt 1
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