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  • title: One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
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            One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
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            One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval

            Dec 6, 2021

            Speakers

            AA

            Akari Asai

            Řečník · 0 sledujících

            XY

            Xinyan Yu

            Řečník · 0 sledujících

            JK

            Jungo Kasai

            Řečník · 0 sledujících

            About

            We present CORA, a Cross-lingual Open-Retrieval Answer Generation model that can answer questions across many languages even when language-specific annotated data or knowledge sources are unavailable. We introduce a new dense passage retrieval algorithm that is trained to retrieve documents across languages for a question.Combined with a multilingual autoregressive generation model, CORA answers directly in the target language without any external translation or in-language retrieval modules as…

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            NeurIPS 2021

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