conference-paper

SpaceQA

  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Abstract

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.

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Publication details

DOI
10.1145/3477495.3531697
OpenAlex
W4284704915
Document type
conference-paper
Language
EN
Source
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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