SpaceQA：关于航天任务和航天器概念设计的问题
SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts
摘要：
我们提出SpaceQA，据我们所知，第一个开放域的QA系统在空间任务设计。SpaceQA是欧洲航天局（欧空局）一项倡议的一部分，该倡议旨在促进该机构内部和公众对空间飞行任务设计信息的访问、共享和再利用。我们采用了一个由密集检索器和神经读取器组成的最先进的架构，并选择了一种基于迁移学习的方法，而不是由于缺乏特定领域的注释数据而进行微调。我们的评价测试集上产生的欧空局在很大程度上是一致的，最初报告的结果评估检索，并确认需要微调阅读理解。截至撰写本文时，欧空局正在内部试行SpaceQA。
英文摘要：
We present SpaceQA, to the best of our knowledge the first open-domain QA system in Space mission design. SpaceQA is part of an initiative by the European Space Agency (ESA) to facilitate the access, sharing and reuse of information about Space mission design within the agency and with the public. We adopt a state-of-the-art architecture consisting of a dense retriever and a neural reader and opt for an approach based on transfer learning rather than fine-tuning due to the lack of domain-specific annotated data. Our evaluation on a test set produced by ESA is largely consistent with the results originally reported by the evaluated retrievers and confirms the need of fine tuning for reading comprehension. As of writing this paper, ESA is piloting SpaceQA internally.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
