ADVISER: A Dialog System Framework for Education & Research
Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, Ngoc Thang Vu
Abstract
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.- Anthology ID:
- P19-3016
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Marta R. Costa-jussà, Enrique Alfonseca
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 93–98
- Language:
- URL:
- https://aclanthology.org/P19-3016
- DOI:
- 10.18653/v1/P19-3016
- Cite (ACL):
- Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic, and Ngoc Thang Vu. 2019. ADVISER: A Dialog System Framework for Education & Research. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 93–98, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- ADVISER: A Dialog System Framework for Education & Research (Ortega et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/P19-3016.pdf