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We present the results of the Workshop on Multilingual Information Access(MIA) 2022 Shared Task, evaluating cross-lingual open-retrieval questionanswering (QA) systems in 16 typologically diverse languages. In this task, weadapted two large-scale cross-lingual open-retrieval QA datasets in 14typologically diverse languages, and newly annotated open-retrieval QA data in2 underrepresented languages: Tagalog and Tamil. Four teams submitted theirsystems. The best system leveraging iteratively mined diverse negative examplesand larger pretrained models achieves 32.2 F1, outperforming our baseline by4.5 points. The second best system uses entity-aware contextualizedrepresentations for document retrieval, and achieves significant improvementsin Tamil (20.8 F1), whereas most of the other systems yield nearly zero scores.

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages