Papers with Cross-lingual IR

1 papers
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data (2023.findings-acl)

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Challenge: Using zero-shot rankers, cross-lingual IR models are limited by their language coverage.
Approach: They propose to train ranking models on artificially code-switched data instead of using a dictionary.
Outcome: The proposed approach is robust towards the ratio of code-switched tokens and extends to unseen languages.

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