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    <abstract>This paper describes Zoom’s submission to the Second Shared Task on Automatic Minuting at INLG 2023. We participated in Task A: generating abstractive summaries of meetings. Our final submission was a transformer model utilizing data from a similar domain and data augmentation by large language models, as well as content-based segmentation. The model produces summaries covering meeting topics and next steps and performs comparably to a large language model at a fraction of the cost. We also find that re-summarizing the summaries with the same model allows for an alternative, shorter summary.</abstract>
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%0 Conference Proceedings
%T Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization
%A Schneider, Felix
%A Turchi, Marco
%Y Mille, Simon
%S Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F schneider-turchi-2023-team
%X This paper describes Zoom’s submission to the Second Shared Task on Automatic Minuting at INLG 2023. We participated in Task A: generating abstractive summaries of meetings. Our final submission was a transformer model utilizing data from a similar domain and data augmentation by large language models, as well as content-based segmentation. The model produces summaries covering meeting topics and next steps and performs comparably to a large language model at a fraction of the cost. We also find that re-summarizing the summaries with the same model allows for an alternative, shorter summary.
%U https://aclanthology.org/2023.inlg-genchal.14
%P 101-107

Markdown (Informal)

[Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization](https://aclanthology.org/2023.inlg-genchal.14) (Schneider & Turchi, INLG-SIGDIAL 2023)

• Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization (Schneider & Turchi, INLG-SIGDIAL 2023)

ACL

• Felix Schneider and Marco Turchi. 2023. Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization. In Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges, pages 101–107, Prague, Czechia. Association for Computational Linguistics.