Supervising the Centroid Baseline for Extractive Multi-Document Summarization

2023/11/29 by Simão Gonçalves, Gonçalves, Simão, Gonçalo dos Santos Correia +5 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2311.17771

openalex publication_date 2023/11/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Cited by

• ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference

Related

• Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization
• Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies
• Multi-Document Summarization with Centroid-Based Pretraining
• Centrality Meets Centroid: A Graph-based Approach for Unsupervised Document Summarization
• Multi-Document Summarization using Distributed Bag-of-Words Model