Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances

Shumpei Inoue, Hy Nguyen, Hoang Pham, Tsungwei Liu, Minh-Tien Nguyen


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.
Anthology ID:
2022.aacl-demo.10
Volume:
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:
November
Year:
2022
Address:
Taipei, Taiwan
Editors:
Wray Buntine, Maria Liakata
Venues:
AACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
88–94
Language:
URL:
https://aclanthology.org/2022.aacl-demo.10
DOI:
Bibkey:
Cite (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.
Cite (Informal):
Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances (Inoue et al., AACL-IJCNLP 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.aacl-demo.10.pdf