@inproceedings{ortega-etal-2019-adviser,
title = "{ADVISER}: A Dialog System Framework for Education {\&} Research",
author = {Ortega, Daniel and
V{\"a}th, Dirk and
Weber, Gianna and
Vanderlyn, Lindsey and
Schmidt, Maximilian and
V{\"o}lkel, Moritz and
Karacevic, Zorica and
Vu, Ngoc Thang},
editor = "Costa-juss{\`a}, Marta R. and
Alfonseca, Enrique",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-3016",
doi = "10.18653/v1/P19-3016",
pages = "93--98",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T ADVISER: A Dialog System Framework for Education & Research
%A Ortega, Daniel
%A Väth, Dirk
%A Weber, Gianna
%A Vanderlyn, Lindsey
%A Schmidt, Maximilian
%A Völkel, Moritz
%A Karacevic, Zorica
%A Vu, Ngoc Thang
%Y Costa-jussà, Marta R.
%Y Alfonseca, Enrique
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F ortega-etal-2019-adviser
%X 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.
%R 10.18653/v1/P19-3016
%U https://aclanthology.org/P19-3016
%U https://doi.org/10.18653/v1/P19-3016
%P 93-98
Markdown (Informal)
[ADVISER: A Dialog System Framework for Education & Research](https://aclanthology.org/P19-3016) (Ortega et al., ACL 2019)
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.