Process / pipeline
多文档摘要
多文档摘要（Multi-document summarization, MDS）是一项自然语言处理任务，旨在将一组相关的文档聚类压缩成一个全面、连贯且无冗余的单一摘要。MDS由Erkan和Radev（2004）通过LexRank算法正式描述，应用于新闻聚类分析、系统性文献综述和研究综合，为读者提供跨多个来源传播的信息的统一视图。
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来源
- Erkan, G. & Radev, D.R. (2004). LexRank: Graph-Based Lexical Centrality as Salience in Text Summarization. Journal of Artificial Intelligence Research, 22, 457-479. link ↗
- Liu, P.J. et al. (2018). Generating Wikipedia by Summarizing Long Sequences. International Conference on Learning Representations (ICLR). link ↗
如何引用本页
ScholarGate. (2026, June 1). Multi-Document Summarization. ScholarGate. https://scholargate.app/zh/text-mining/multi-document-summarization
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