@inproceedings{koay-etal-2021-sliding,
title = "A Sliding-Window Approach to Automatic Creation of Meeting Minutes",
author = "Koay, Jia Jin and
Roustai, Alexander and
Dai, Xiaojin and
Liu, Fei",
editor = "Durmus, Esin and
Gupta, Vivek and
Liu, Nelson and
Peng, Nanyun and
Su, Yu",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-srw.10",
doi = "10.18653/v1/2021.naacl-srw.10",
pages = "68--75",
abstract = "Meeting minutes record any subject matter discussed, decisions reached and actions taken at the meeting. The importance of automatic minuting cannot be overstated. In this paper, we present a sliding window approach to automatic generation of meeting minutes. It aims at addressing issues pertaining to the nature of spoken text, including the lengthy transcript and lack of document structure, which make it difficult to identify salient content to be included in meeting minutes. Our approach combines a sliding-window approach and a neural abstractive summarizer to navigate through the raw transcript to find salient content. The approach is evaluated on transcripts of natural meeting conversations, where we compare results obtained for human transcripts and two versions of automatic transcripts and discuss how and to what extent the summarizer succeeds at capturing salient content.",
}
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<abstract>Meeting minutes record any subject matter discussed, decisions reached and actions taken at the meeting. The importance of automatic minuting cannot be overstated. In this paper, we present a sliding window approach to automatic generation of meeting minutes. It aims at addressing issues pertaining to the nature of spoken text, including the lengthy transcript and lack of document structure, which make it difficult to identify salient content to be included in meeting minutes. Our approach combines a sliding-window approach and a neural abstractive summarizer to navigate through the raw transcript to find salient content. The approach is evaluated on transcripts of natural meeting conversations, where we compare results obtained for human transcripts and two versions of automatic transcripts and discuss how and to what extent the summarizer succeeds at capturing salient content.</abstract>
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%0 Conference Proceedings
%T A Sliding-Window Approach to Automatic Creation of Meeting Minutes
%A Koay, Jia Jin
%A Roustai, Alexander
%A Dai, Xiaojin
%A Liu, Fei
%Y Durmus, Esin
%Y Gupta, Vivek
%Y Liu, Nelson
%Y Peng, Nanyun
%Y Su, Yu
%S Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F koay-etal-2021-sliding
%X Meeting minutes record any subject matter discussed, decisions reached and actions taken at the meeting. The importance of automatic minuting cannot be overstated. In this paper, we present a sliding window approach to automatic generation of meeting minutes. It aims at addressing issues pertaining to the nature of spoken text, including the lengthy transcript and lack of document structure, which make it difficult to identify salient content to be included in meeting minutes. Our approach combines a sliding-window approach and a neural abstractive summarizer to navigate through the raw transcript to find salient content. The approach is evaluated on transcripts of natural meeting conversations, where we compare results obtained for human transcripts and two versions of automatic transcripts and discuss how and to what extent the summarizer succeeds at capturing salient content.
%R 10.18653/v1/2021.naacl-srw.10
%U https://aclanthology.org/2021.naacl-srw.10
%U https://doi.org/10.18653/v1/2021.naacl-srw.10
%P 68-75
Markdown (Informal)
[A Sliding-Window Approach to Automatic Creation of Meeting Minutes](https://aclanthology.org/2021.naacl-srw.10) (Koay et al., NAACL 2021)
ACL
- Jia Jin Koay, Alexander Roustai, Xiaojin Dai, and Fei Liu. 2021. A Sliding-Window Approach to Automatic Creation of Meeting Minutes. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 68–75, Online. Association for Computational Linguistics.