XOR QA: Cross-lingual Open-Retrieval Question Answering
108 Citations•2021•
Akari Asai, Jungo Kasai, Jonathan H. Clark
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This work constructs a large-scale dataset built on 40K information-seeking questions across 7 diverse non-English languages that TyDi QA could not find same-language answers for and introduces a task framework, called Cross-lingual Open-Retrieval Question Answering (XOR QA), that consists of three new tasks involving cross-lingually document retrieval from multilingual and English resources.
Abstract
Akari Asai, Jungo Kasai, Jonathan Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.