@inproceedings{zhang-etal-2022-slot,
title = "A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots",
author = "Zhang, Sai and
Hu, Yuwei and
Wu, Yuchuan and
Wu, Jiaman and
Li, Yongbin and
Sun, Jian and
Yuan, Caixia and
Wang, Xiaojie",
editor = "Muresan, Smaranda and
Nakov, Preslav and
Villavicencio, Aline",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2022",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.findings-acl.27",
doi = "10.18653/v1/2022.findings-acl.27",
pages = "309--321",
abstract = "A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names. It is a common phenomenon in daily life, but little attention has been paid to it in previous work. To fill the gap, this paper defines a new task named Sub-Slot based Task-Oriented Dialog (SSTOD) and builds a Chinese dialog dataset SSD for boosting research on SSTOD. The dataset includes a total of 40K dialogs and 500K utterances from four different domains: Chinese names, phone numbers, ID numbers and license plate numbers. The data is well annotated with sub-slot values, slot values, dialog states and actions. We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task. We test three state-of-the-art dialog models on SSTOD and find they cannot handle the task well on any of the four domains. We also investigate an improved model by involving slot knowledge in a plug-in manner. More work should be done to meet the new challenges raised from SSTOD which widely exists in real-life applications. The dataset and code are publicly available via \url{https://github.com/shunjiu/SSTOD}.",
}
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<abstract>A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names. It is a common phenomenon in daily life, but little attention has been paid to it in previous work. To fill the gap, this paper defines a new task named Sub-Slot based Task-Oriented Dialog (SSTOD) and builds a Chinese dialog dataset SSD for boosting research on SSTOD. The dataset includes a total of 40K dialogs and 500K utterances from four different domains: Chinese names, phone numbers, ID numbers and license plate numbers. The data is well annotated with sub-slot values, slot values, dialog states and actions. We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task. We test three state-of-the-art dialog models on SSTOD and find they cannot handle the task well on any of the four domains. We also investigate an improved model by involving slot knowledge in a plug-in manner. More work should be done to meet the new challenges raised from SSTOD which widely exists in real-life applications. The dataset and code are publicly available via https://github.com/shunjiu/SSTOD.</abstract>
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%0 Conference Proceedings
%T A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots
%A Zhang, Sai
%A Hu, Yuwei
%A Wu, Yuchuan
%A Wu, Jiaman
%A Li, Yongbin
%A Sun, Jian
%A Yuan, Caixia
%A Wang, Xiaojie
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Findings of the Association for Computational Linguistics: ACL 2022
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F zhang-etal-2022-slot
%X A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names. It is a common phenomenon in daily life, but little attention has been paid to it in previous work. To fill the gap, this paper defines a new task named Sub-Slot based Task-Oriented Dialog (SSTOD) and builds a Chinese dialog dataset SSD for boosting research on SSTOD. The dataset includes a total of 40K dialogs and 500K utterances from four different domains: Chinese names, phone numbers, ID numbers and license plate numbers. The data is well annotated with sub-slot values, slot values, dialog states and actions. We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task. We test three state-of-the-art dialog models on SSTOD and find they cannot handle the task well on any of the four domains. We also investigate an improved model by involving slot knowledge in a plug-in manner. More work should be done to meet the new challenges raised from SSTOD which widely exists in real-life applications. The dataset and code are publicly available via https://github.com/shunjiu/SSTOD.
%R 10.18653/v1/2022.findings-acl.27
%U https://aclanthology.org/2022.findings-acl.27
%U https://doi.org/10.18653/v1/2022.findings-acl.27
%P 309-321
Markdown (Informal)
[A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots](https://aclanthology.org/2022.findings-acl.27) (Zhang et al., Findings 2022)
ACL
- Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, and Xiaojie Wang. 2022. A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots. In Findings of the Association for Computational Linguistics: ACL 2022, pages 309–321, Dublin, Ireland. Association for Computational Linguistics.