How Domain Terminology Affects Meeting Summarization Performance
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Abstract (arXiv)
Meetings are essential to modern organizations. Numerous meetings are held and recorded daily, more than can ever be comprehended. A meeting summarization system that identifies salient utterances from the transcripts to automatically generate meeting minutes can help. It empowers users to rapidly search and sift through large meeting collections. To date, the impact of domain terminology on the performance of meeting summarization remains understudied, despite that meetings are rich with domain knowledge. In this paper, we create gold-standard annotations for domain terminology on a sizable meeting corpus; they are known as jargon terms. We then analyze the performance of a meeting summarization system with and without jargon terms. Our findings reveal that domain terminology can have a substantial impact on summarization performance. We publicly release all domain terminology to advance research in meeting summarization.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Nov 2020.
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Citing papers per year: 2021: 5; 2022: 5; 2023: 3; 2024: 1.
14 papers.
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- 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 363
- 2023MeetingBank: A Benchmark Dataset for Meeting Summarizationcited by 81
- 2021A Survey on Dialogue Summarization: Recent Advances and New Frontierscited by 51
- 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarizationcited by 46
- 2022Toward Unifying Text Segmentation and Long Document Summarizationcited by 28
- 2021StreamHover: Livestream Transcript Summarization and Annotationcited by 15
- 2021A Sliding-Window Approach to Automatic Creation of Meeting Minutescited by 14
- 2022Abstractive Meeting Summarization: A Surveycited by 9
- 2022Towards Abstractive Grounded Summarization of Podcast Transcriptscited by 8
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directionscited by 3
- 2022Meeting Summarization: A Survey of the State of the Artcited by 3
- 2023MUG: A General Meeting Understanding and Generation Benchmarkcited by 3
- 2024Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks16 Sep 2024
- 2023Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification7 Nov 2023
- 2023MeetingBank: A Benchmark Dataset for Meeting Summarization27 May 2023
- 2023MUG: A General Meeting Understanding and Generation Benchmark24 Mar 2023
- 2022Meeting Summarization: A Survey of the State of the Art16 Dec 2022
- 2022Toward Unifying Text Segmentation and Long Document Summarization28 Oct 2022
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions18 Oct 2022
- 2022Abstractive Meeting Summarization: A Survey8 Aug 2022
- 2022Towards Abstractive Grounded Summarization of Podcast Transcripts22 Mar 2022
- 2021StreamHover: Livestream Transcript Summarization and Annotation11 Sep 2021
- 2021A Survey on Dialogue Summarization: Recent Advances and New Frontiers7 Jul 2021
- 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization26 May 2021
2 more
- 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 363
- 2023MeetingBank: A Benchmark Dataset for Meeting Summarizationcited by 81
- 2021A Survey on Dialogue Summarization: Recent Advances and New Frontierscited by 51
- 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarizationcited by 46
- 2022Toward Unifying Text Segmentation and Long Document Summarizationcited by 28
- 2021StreamHover: Livestream Transcript Summarization and Annotationcited by 15
- 2021A Sliding-Window Approach to Automatic Creation of Meeting Minutescited by 14
- 2022Abstractive Meeting Summarization: A Surveycited by 9
- 2022Towards Abstractive Grounded Summarization of Podcast Transcriptscited by 8
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directionscited by 3
- 2022Meeting Summarization: A Survey of the State of the Artcited by 3
- 2023MUG: A General Meeting Understanding and Generation Benchmarkcited by 3
12 most cited of 14 All 14 (JSON)
- 2024Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks16 Sep 2024
- 2023Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification7 Nov 2023
- 2023MeetingBank: A Benchmark Dataset for Meeting Summarization27 May 2023
- 2023MUG: A General Meeting Understanding and Generation Benchmark24 Mar 2023
- 2022Meeting Summarization: A Survey of the State of the Art16 Dec 2022
- 2022Toward Unifying Text Segmentation and Long Document Summarization28 Oct 2022
- 2022Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions18 Oct 2022
- 2022Abstractive Meeting Summarization: A Survey8 Aug 2022
- 2022Towards Abstractive Grounded Summarization of Podcast Transcripts22 Mar 2022
- 2021StreamHover: Livestream Transcript Summarization and Annotation11 Sep 2021
- 2021A Survey on Dialogue Summarization: Recent Advances and New Frontiers7 Jul 2021
- 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization26 May 2021
12 newest of 14 All 14 (JSON)