论文标题
通过多跳密度检索回答复杂的开放域问题
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
论文作者
论文摘要
我们提出了一种简单有效的多跳密度检索方法，用于回答复杂的开放域问题，该问题在两个多跳数据集（HotPotQA和Multi-devence Fever）上实现了最先进的性能。与以前的工作相反，我们的方法不需要访问任何特定于语料库的信息，例如文档间超链接或人类通知的实体标记，并且可以应用于任何非结构化的文本语料库。我们的系统还产生了更好的效率准确性权衡取舍，与HotPotQA的最佳发布精度相匹配，而在推理时却要快10倍。
We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance on two multi-hop datasets, HotpotQA and multi-evidence FEVER. Contrary to previous work, our method does not require access to any corpus-specific information, such as inter-document hyperlinks or human-annotated entity markers, and can be applied to any unstructured text corpus. Our system also yields a much better efficiency-accuracy trade-off, matching the best published accuracy on HotpotQA while being 10 times faster at inference time.
