Web: http://arxiv.org/abs/2201.11153

Jan. 28, 2022, 2:10 a.m. | Alon Albalak, Sharon Levy, William Yang Wang

cs.CL updates on arXiv.org arxiv.org

Open-retrieval question answering systems are generally trained and tested on
large datasets in well-established domains. However, low-resource settings such
as new and emerging domains would especially benefit from reliable question
answering systems. Furthermore, multilingual and cross-lingual resources in
emergent domains are scarce, leading to few or no such systems. In this paper,
we demonstrate a cross-lingual open-retrieval question answering system for the
emergent domain of COVID-19. Our system adopts a corpus of scientific articles
to ensure that retrieved documents are …

arxiv cross open question answering retrieval systems

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