@inproceedings{truong-etal-2017-maca,
title = "{MACA}: A Modular Architecture for Conversational Agents",
author = "Truong, Hoai Phuoc and
Parthasarathi, Prasanna and
Pineau, Joelle",
editor = "Jokinen, Kristiina and
Stede, Manfred and
DeVault, David and
Louis, Annie",
booktitle = "Proceedings of the 18th Annual {SIG}dial Meeting on Discourse and Dialogue",
month = aug,
year = "2017",
address = {Saarbr{\"u}cken, Germany},
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5513",
doi = "10.18653/v1/W17-5513",
pages = "93--102",
abstract = "We propose a software architecture designed to ease the implementation of dialogue systems. The Modular Architecture for Conversational Agents (MACA) uses a plug-n-play style that allows quick prototyping, thereby facilitating the development of new techniques and the reproduction of previous work. The architecture separates the domain of the conversation from the agent{'}s dialogue strategy, and as such can be easily extended to multiple domains. MACA provides tools to host dialogue agents on Amazon Mechanical Turk (mTurk) for data collection and allows processing of other sources of training data. The current version of the framework already incorporates several domains and existing dialogue strategies from the recent literature.",
}
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<abstract>We propose a software architecture designed to ease the implementation of dialogue systems. The Modular Architecture for Conversational Agents (MACA) uses a plug-n-play style that allows quick prototyping, thereby facilitating the development of new techniques and the reproduction of previous work. The architecture separates the domain of the conversation from the agent’s dialogue strategy, and as such can be easily extended to multiple domains. MACA provides tools to host dialogue agents on Amazon Mechanical Turk (mTurk) for data collection and allows processing of other sources of training data. The current version of the framework already incorporates several domains and existing dialogue strategies from the recent literature.</abstract>
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%0 Conference Proceedings
%T MACA: A Modular Architecture for Conversational Agents
%A Truong, Hoai Phuoc
%A Parthasarathi, Prasanna
%A Pineau, Joelle
%Y Jokinen, Kristiina
%Y Stede, Manfred
%Y DeVault, David
%Y Louis, Annie
%S Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
%D 2017
%8 August
%I Association for Computational Linguistics
%C Saarbrücken, Germany
%F truong-etal-2017-maca
%X We propose a software architecture designed to ease the implementation of dialogue systems. The Modular Architecture for Conversational Agents (MACA) uses a plug-n-play style that allows quick prototyping, thereby facilitating the development of new techniques and the reproduction of previous work. The architecture separates the domain of the conversation from the agent’s dialogue strategy, and as such can be easily extended to multiple domains. MACA provides tools to host dialogue agents on Amazon Mechanical Turk (mTurk) for data collection and allows processing of other sources of training data. The current version of the framework already incorporates several domains and existing dialogue strategies from the recent literature.
%R 10.18653/v1/W17-5513
%U https://aclanthology.org/W17-5513
%U https://doi.org/10.18653/v1/W17-5513
%P 93-102
Markdown (Informal)
[MACA: A Modular Architecture for Conversational Agents](https://aclanthology.org/W17-5513) (Truong et al., SIGDIAL 2017)
ACL
- Hoai Phuoc Truong, Prasanna Parthasarathi, and Joelle Pineau. 2017. MACA: A Modular Architecture for Conversational Agents. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 93–102, Saarbrücken, Germany. Association for Computational Linguistics.