@inproceedings{klesnilova-elizabeth-2023-team,
title = "Team Synapse @ {A}uto{M}in 2023: Leveraging {BART}-Based Models for Automatic Meeting Minuting",
author = "Klesnilov{\'a}, Krist{\'y}na and
Elizabeth, Michelle",
editor = "Mille, Simon",
booktitle = "Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges",
month = sep,
year = "2023",
address = "Prague, Czechia",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/fix-sig-urls/2023.inlg-genchal.15/",
pages = "108--113",
abstract = "This paper describes the approach we followed for our submission to the Second Run of the Automatic Minuting Shared Task. Our methodology centers around employing BART-based models fine-tuned on diverse summarization corpora. The segmented meeting transcripts are fed into the models, generating summaries that are subsequently combined and formatted into the final meeting minutes."
}
Markdown (Informal)
[Team Synapse @ AutoMin 2023: Leveraging BART-Based Models for Automatic Meeting Minuting](https://preview.aclanthology.org/fix-sig-urls/2023.inlg-genchal.15/) (Klesnilová & Elizabeth, INLG-SIGDIAL 2023)
ACL