Process / pipeline
文本摘要——抽取式与生成式
自动文本摘要是一项自然语言处理任务，旨在将长文档压缩成更短的摘要，同时保留其关键信息。它通过两种方法实现——抽取式摘要，选择源文本中最重要的片段；或生成式摘要，生成新的文本。该领域由 Nenkova 和 McKeown (2011) 整合，而像 BART (Lewis et al., 2020) 这样的序列到序列模型则推动了生成式方法的发展。
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来源
- Nenkova, A. & McKeown, K. (2011). Automatic Summarization. Foundations and Trends in Information Retrieval. DOI: 10.1561/1500000015 ↗
- Lewis, M. et al. (2020). BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL. DOI: 10.18653/v1/2020.acl-main.703 ↗
如何引用本页
ScholarGate. (2026, June 1). Automatic Text Summarization. ScholarGate. https://scholargate.app/zh/text-mining/text-summarization
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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