Do Multi-Document Summarization Models <i>Synthesize</i>? by Jay DeYoung, Stephanie C. Martinez, Iain J. Marshall, Byron C. Wallace

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A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization by Jiwei Li, Sujian Li

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Enhancing extractive multi-documents summarization with a novel dominating set model for semantic relationship detection by Said Yunus, Cengiz Hark, Fatih Okumuş

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PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization by Rawan Alsultan, Alaa Sagheer, Hala Hamdoun, Lamya Alshamlan, Latifah Alfadhli

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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidirectional long short-term memory classifier for effective single and multi-document summarization by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

“…Single-document summarization (SDS) targets on single document, whereas multi-document summarization (MDS) combines information from several sources, posing a greater challenge for researchers to create precise summaries. …”
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Peringkasan Multi-dokumen menggunakan Metode Pengelompokkan berbasis Hirarki dengan Multi-level Divisive Coefficient by Muhamad Mustamiin, Ahmad Lubis Ghozali, Muhammad Lukman Sifa

“…Summarization used to summarize more than one document is called multi-document summarization. To prevent repetitive information from being submitted to multi-document summarization, the grouping process is necessary to ensure that the information submitted varies and covers all parts of the documents. …”
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pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization by Rasim M. Alguliev, Ramiz M. Aliguliyev, Chingiz A. Mehdiyev

“…We implemented our model on multi-document summarization task. Experiments have shown that the proposed model is competitive on the DUC2006 dataset.…”
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