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机器阅读理解 (MRC)

机器阅读teness理解 (MRC) 由 Rajpurkar、Zhang、Lopyrev 和 Liang (2016) 的 SQuAD 基准测试推广开来,是一项自然语言处理任务,其中模型阅读给定段落并回答有关该段落的多个选择题或开放式问题。它将一个段落加上一个问题转化为机器生成的答案,支持信息检索、教育技术和查询研究数据库。

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阅读完整方法

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来源

  1. Rajpurkar, P., Zhang, J., Lopyrev, K. & Liang, P. (2016). SQuAD: 100,000+ Questions for Machine Comprehension of Text. EMNLP, 2383-2392. DOI: 10.18653/v1/D16-1264
  2. Yang, Z. et al. (2018). HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP. DOI: 10.18653/v1/D18-1259

如何引用本页

ScholarGate. (2026, June 1). Neural Machine Reading Comprehension (MRC). ScholarGate. https://scholargate.app/zh/text-mining/neural-machine-reading

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被引用于

ScholarGateMachine Reading Comprehension (Neural Machine Reading Comprehension (MRC)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/neural-machine-reading · 数据集: https://doi.org/10.5281/zenodo.20539026