@inproceedings{inoue-etal-2022-meeting,
title = "Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances",
author = "Inoue, Shumpei and
Nguyen, Hy and
Pham, Hoang and
Liu, Tsungwei and
Nguyen, Minh-Tien",
editor = "Buntine, Wray and
Liakata, Maria",
booktitle = "Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations",
month = nov,
year = "2022",
address = "Taipei, Taiwan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.aacl-demo.10",
doi = "10.18653/v1/2022.aacl-demo.10",
pages = "88--94",
abstract = "Meetings are a universal process to make decisions in business and project collaboration. The capability to automatically itemize the decisions in daily meetings allows for extensive tracking of past discussions. To that end, we developed Meeting Decision Tracker, a prototype system to construct decision items comprising decision utterance detector (DUD) and decision utterance rewriter (DUR). We show that DUR makes a sizable contribution to improving the user experience by dealing with utterance collapse in natural conversation. An introduction video of our system is also available at \url{https://youtu.be/TG1pJJo0Iqo}.",
}
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<abstract>Meetings are a universal process to make decisions in business and project collaboration. The capability to automatically itemize the decisions in daily meetings allows for extensive tracking of past discussions. To that end, we developed Meeting Decision Tracker, a prototype system to construct decision items comprising decision utterance detector (DUD) and decision utterance rewriter (DUR). We show that DUR makes a sizable contribution to improving the user experience by dealing with utterance collapse in natural conversation. An introduction video of our system is also available at https://youtu.be/TG1pJJo0Iqo.</abstract>
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%0 Conference Proceedings
%T Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances
%A Inoue, Shumpei
%A Nguyen, Hy
%A Pham, Hoang
%A Liu, Tsungwei
%A Nguyen, Minh-Tien
%Y Buntine, Wray
%Y Liakata, Maria
%S Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations
%D 2022
%8 November
%I Association for Computational Linguistics
%C Taipei, Taiwan
%F inoue-etal-2022-meeting
%X Meetings are a universal process to make decisions in business and project collaboration. The capability to automatically itemize the decisions in daily meetings allows for extensive tracking of past discussions. To that end, we developed Meeting Decision Tracker, a prototype system to construct decision items comprising decision utterance detector (DUD) and decision utterance rewriter (DUR). We show that DUR makes a sizable contribution to improving the user experience by dealing with utterance collapse in natural conversation. An introduction video of our system is also available at https://youtu.be/TG1pJJo0Iqo.
%R 10.18653/v1/2022.aacl-demo.10
%U https://aclanthology.org/2022.aacl-demo.10
%U https://doi.org/10.18653/v1/2022.aacl-demo.10
%P 88-94
Markdown (Informal)
[Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances](https://aclanthology.org/2022.aacl-demo.10) (Inoue et al., AACL-IJCNLP 2022)
ACL
- Shumpei Inoue, Hy Nguyen, Hoang Pham, Tsungwei Liu, and Minh-Tien Nguyen. 2022. Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations, pages 88–94, Taipei, Taiwan. Association for Computational Linguistics.