Process / pipeline
问答 (QA)
问答是一项自然语言处理任务，它通过抽取式或生成式方法，自动回答基于给定上下文段落的自然语言问题。这项任务通过 Rajpurkar 等人 (2016) 的 SQuAD 基准测试得以明确，随后 XLNet (Yang 等人，2019) 等模型进一步提高了阅读理解的准确性。
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来源
- Rajpurkar, P. et al. (2016). SQuAD: 100,000+ Questions for Machine Comprehension of Text. EMNLP. DOI: 10.18653/v1/D16-1264 ↗
- Yang, Z. et al. (2019). XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS. link ↗
如何引用本页
ScholarGate. (2026, June 1). Question Answering (QA). ScholarGate. https://scholargate.app/zh/text-mining/question-answering
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