Abstractive meeting summarization using dependency graph fusion

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SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization

B Gliwa, I Mochol, M Biesek, A Wawer - ar** review
D Rezazadegan, S Berkovsky, JC Quiroz… - arxiv preprint arxiv …, 2020 - arxiv.org
Speech summarisation techniques take human speech as input and then output an
abridged version as text or speech. Speech summarisation has applications in many …
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Abstractive meeting summarization by hierarchical adaptive segmental network learning with multiple revising steps

J Zheng, Z Zhao, Z Song, M Yang, J **ao, X Yan - Neurocomputing, 2020 - Elsevier
Abstractive meeting summarization is a challenging problem in natural language
understanding, which automatically generates the condensed summary covering the …
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KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings

P Qi, Y Sun, M Yao, D Tao - Neural Networks, 2024 - Elsevier
The demand for “online meetings” and “collaborative office work” keeps surging recently,
producing an abundant amount of relevant data. How to provide participants with accurate …
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