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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.13814 |
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| _version_ | 1866911159152541696 |
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| author | Shinde, Kartik Besacier, Laurent Bojar, Ondrej Thonet, Thibaut Ghosal, Tirthankar |
| author_facet | Shinde, Kartik Besacier, Laurent Bojar, Ondrej Thonet, Thibaut Ghosal, Tirthankar |
| contents | This paper presents the third edition of AutoMin, a shared task on automatic meeting summarization into minutes. In 2025, AutoMin featured the main task of minuting, the creation of structured meeting minutes, as well as a new task: question answering (QA) based on meeting transcripts.
The minuting task covered two languages, English and Czech, and two domains: project meetings and European Parliament sessions. The QA task focused solely on project meetings and was available in two settings: monolingual QA in English, and cross-lingual QA, where questions were asked and answered in Czech based on English meetings.
Participation in 2025 was more limited compared to previous years, with only one team joining the minuting task and two teams participating in QA. However, as organizers, we included multiple baseline systems to enable a comprehensive evaluation of current (2025) large language models (LLMs) on both tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_13814 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Findings of the Third Automatic Minuting (AutoMin) Challenge Shinde, Kartik Besacier, Laurent Bojar, Ondrej Thonet, Thibaut Ghosal, Tirthankar Computation and Language This paper presents the third edition of AutoMin, a shared task on automatic meeting summarization into minutes. In 2025, AutoMin featured the main task of minuting, the creation of structured meeting minutes, as well as a new task: question answering (QA) based on meeting transcripts. The minuting task covered two languages, English and Czech, and two domains: project meetings and European Parliament sessions. The QA task focused solely on project meetings and was available in two settings: monolingual QA in English, and cross-lingual QA, where questions were asked and answered in Czech based on English meetings. Participation in 2025 was more limited compared to previous years, with only one team joining the minuting task and two teams participating in QA. However, as organizers, we included multiple baseline systems to enable a comprehensive evaluation of current (2025) large language models (LLMs) on both tasks. |
| title | Findings of the Third Automatic Minuting (AutoMin) Challenge |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2509.13814 |