@inproceedings{mo-etal-2023-roll,
title = "Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System",
author = "Mo, Lingbo and
Chen, Shijie and
Chen, Ziru and
Deng, Xiang and
Lewis, Ashley and
Singh, Sunit and
Stevens, Samuel and
Tai, Chang-You and
Wang, Zhen and
Yue, Xiang and
Zhang, Tianshu and
Su, Yu and
Sun, Huan",
editor = "Stoyanchev, Svetlana and
Joty, Shafiq and
Schlangen, David and
Dusek, Ondrej and
Kennington, Casey and
Alikhani, Malihe",
booktitle = "Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2023",
address = "Prague, Czechia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sigdial-1.19/",
doi = "10.18653/v1/2023.sigdial-1.19",
pages = "197--201",
abstract = "We introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps. Covering a wide range of cooking and how-to tasks, we aim to deliver a collaborative and engaging dialogue experience. Equipped with language understanding, dialogue management, and response generation components supported by a robust search engine, TacoBot ensures efficient task assistance. To enhance the dialogue experience, we explore a series of data augmentation strategies using LLMs to train advanced neural models continuously. TacoBot builds upon our successful participation in the inaugural Alexa Prize TaskBot Challenge, where our team secured third place among ten competing teams. We offer TacoBot as an open-source framework that serves as a practical example for deploying task-oriented dialogue systems."
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%0 Conference Proceedings
%T Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
%A Mo, Lingbo
%A Chen, Shijie
%A Chen, Ziru
%A Deng, Xiang
%A Lewis, Ashley
%A Singh, Sunit
%A Stevens, Samuel
%A Tai, Chang-You
%A Wang, Zhen
%A Yue, Xiang
%A Zhang, Tianshu
%A Su, Yu
%A Sun, Huan
%Y Stoyanchev, Svetlana
%Y Joty, Shafiq
%Y Schlangen, David
%Y Dusek, Ondrej
%Y Kennington, Casey
%Y Alikhani, Malihe
%S Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F mo-etal-2023-roll
%X We introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps. Covering a wide range of cooking and how-to tasks, we aim to deliver a collaborative and engaging dialogue experience. Equipped with language understanding, dialogue management, and response generation components supported by a robust search engine, TacoBot ensures efficient task assistance. To enhance the dialogue experience, we explore a series of data augmentation strategies using LLMs to train advanced neural models continuously. TacoBot builds upon our successful participation in the inaugural Alexa Prize TaskBot Challenge, where our team secured third place among ten competing teams. We offer TacoBot as an open-source framework that serves as a practical example for deploying task-oriented dialogue systems.
%R 10.18653/v1/2023.sigdial-1.19
%U https://aclanthology.org/2023.sigdial-1.19/
%U https://doi.org/10.18653/v1/2023.sigdial-1.19
%P 197-201
Markdown (Informal)
[Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System](https://aclanthology.org/2023.sigdial-1.19/) (Mo et al., SIGDIAL 2023)
ACL
- Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, and Huan Sun. 2023. Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. In Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 197–201, Prague, Czechia. Association for Computational Linguistics.