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语义相似度 — 衡量文本间的意义距离

语义相似度分析衡量的是两段文本在意义上的接近程度,而非表面上共享词语的数量。基于 Reimers 和 Gurevych (2019) 的 Sentence-BERT 工作,它将每段文本表示为一个向量,并比较这些向量,从而使释义文本即使在措辞不同时也能获得高分。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Reimers, N. & Gurevych, I. (2019). Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. EMNLP. link
  2. Agirre, E. et al. (2013). *SEM 2013 shared task: Semantic Textual Similarity. ACL (*SEM). link

如何引用本页

ScholarGate. (2026, June 1). Semantic Similarity Analysis. ScholarGate. https://scholargate.app/zh/text-mining/semantic-similarity

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.

Compare side by side

被引用于

ScholarGateSemantic Similarity (Semantic Similarity Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/semantic-similarity · 数据集: https://doi.org/10.5281/zenodo.20539026