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As the number of recorded meetings increases, it becomes increasingly important to utilize summarization technology to create useful summaries of these recordings.
Language models are few-shot learners
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The ICSI meeting corpus
A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters. 2003 · 2003
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Longformer: The long-document transformer
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Machine Learning for Multimodal Interaction: First International Workshop
Samy Bengio and Hervé Bourlard. 2004 · 2004
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LexRank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R. Radev. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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The AMI meeting corpus: A pre-announcement
Jean Carletta, Simone Ashby, Sebastien Bourban, Mike Flynn, Mael Guillemot, Thomas Hain, Jaroslav Kadlec, and Vasilis Karaiskos et al. 2006 · 2006
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Recognition and understanding of meetings the ami and amida projects
Steve Renals, Thomas Hain, and Herve Bourlard. 2007 · 2007
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Generating and validating abstracts of meeting conversations: a user study
Gabriel Murray, Giuseppe Carenini, and Raymond Ng. 2010 · 2010
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Domain-independent abstract generation for focused meeting summarization
Lu Wang and Claire Cardie. 2013 · 2013
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A template-based abstractive meeting summarization: Leveraging summary and source text relationships
Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, and Raymond Ng. 2014 · 2014
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Newsroom: A dataset of 1.3 million summaries with diverse extractive strategies
Max Grusky, Mor Naaman, and Yoav Artzi. 2018 · 2018
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Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Unsupervised abstractive meeting summarization with multi-sentence compression and budgeted submodular maximization
Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, and Jean-Pierre Lorré. 2018 · 2018
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Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev. 2019 · 2019
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SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization
Bogdan Gliwa, Iwona Mochol, Maciej Biesek, and Aleksander Wawer. 2019 · 2019
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BillSum: A corpus for automatic summarization of US legislation
Anastassia Kornilova and Vladimir Eidelman. 2019 · 2019
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Keep meeting summaries on topic: Abstractive multi-modal meeting summarization
Manling Li, Lingyu Zhang, Heng Ji, and Richard J. Radke. 2019 · 2019
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MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
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ForumSum: A multi-speaker conversation summarization dataset
Misha Khalman, Yao Zhao, and Mohammad Saleh. 2021 · 2021
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A sliding-window approach to automatic creation of meeting minutes
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, and Fei Liu. 2021 · 2021
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A preliminary study on evaluating consultation notes with post-editing
Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov, and Ehud Reiter. 2021 · 2021
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SummerTime: Text summarization toolkit for non-experts
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, and Dragomir Radev. 2021 · 2021
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Qmsum: A new benchmark for query-based multi-domain meeting summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, and Dragomir Radev. 2021 · 2021
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How domain terminology affects meeting summarization performance
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, and Fei Liu. 2020 · 2020
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Align then summarize: Automatic alignment methods for summarization corpus creation
Paul Tardy, David Janiszek, Yannick Estève, and Vincent Nguyen. 2020 · 2020
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MediaSum: A large-scale media interview dataset for dialogue summarization
Chenguang Zhu, Yang Liu, Jie Mei, and Michael Zeng. 2021 · 2021
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Mingda Chen, Zewei Chu, Sam Wiseman, and Kevin Gimpel. 2022 · 2022
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28 incredible meeting statistics: Virtual, zoom, in-person meetings and productivity
Jack Flynn. 2022 · 2022
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DialSummEval: Revisiting summarization evaluation for dialogues
Mingqi Gao and Xiaojun Wan. 2022 · 2022
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Making science simple: Corpora for the lay summarisation of scientific literature
Tomas Goldsack, Zhihao Zhang, Chenghua Lin, and Carolina Scarton. 2022 · 2022
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News summarization and evaluation in the era of gpt-3
Tanya Goyal, Junyi Jessy Li, and Greg Durrett. 2022 · 2022
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ELITR minuting corpus: A novel dataset for automatic minuting from multi-party meetings in English and Czech
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus. 2022 · 2022
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Dialoglm: Pre-trained model for long dialogue understanding and summarization
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, and Michael Zeng. 2022 · 2022
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Benchmarking large language models for news summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B. Hashimoto. 2023 · 2023
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