Cross-Lingual Training of Dense Retrievers for Document Retrieval
Peng Shi, Rui Zhang, He Bai, Jimmy Lin · 2021
Dense retrieval has shown great success for passage ranking in English.However, its effectiveness for non-English languages remains unexplored due to limitation in training resources.In this work, we explore different transfer techniques for document ranking from English annotations to non-English languages.Our experiments reveal that zero-shot modelbased transfer using mBERT improves search quality.We find that weakly-supervised target language transfer is competitive compared to generation-based target language transfer, which requires translation models.