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

1 code implementation • NeurIPS 2021 • Akari Asai, Xinyan Yu, Jungo Kasai, Hannaneh Hajishirzi

We present Cross-lingual Open-Retrieval Answer Generation (CORA), the first unified many-to-many question answering (QA) model that can answer questions across many languages, even for ones without language-specific annotated data or knowledge sources.

Answer Generation Passage Retrieval +3