mlsanityData to 14 Oct 2026

Supervising the Centroid Baseline for Extractive Multi-Document Summarization

arXiv 2311.17771 ↗First posted 29 Nov 2023cs.CLcited by 1

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Abstract (arXiv)

The centroid method is a simple approach for extractive multi-document summarization and many improvements to its pipeline have been proposed. We further refine it by adding a beam search process to the sentence selection and also a centroid estimation attention model that leads to improved results. We demonstrate this in several multi-document summarization datasets, including in a multilingual scenario.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 14 of its 35 references that are in the map. First posted on arXiv 29 Nov 2023.

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14 of 35 references.

References · 14

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  6. 2019Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Modelcited by 431
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  10. 2020A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portalcited by 72
  11. 2021CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairscited by 39
  12. 2019Multi-Document Summarization with Determinantal Point Processes and Contextualized Representationscited by 16
2 more
  1. 2019Jointly Extracting and Compressing Documents with Summary State Representationscited by 12
  2. 2017Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarizationcited by 7

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