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Cross-Lingual Information Retrieval

Cross-Lingual Information Retrieval (CLIR) is a retrieval task in which search queries and candidate documents are written in different languages. CLIR can be very useful in some scenarios. For example, a reporter may want to search foreign language news to obtain different perspectives for her story; an inventor may explore the patents in another country to understand prior art.

Papers

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Showing 1–10 of 68 papers

TitleStatusHype
Learning Cross-Lingual IR from an English RetrieverCode1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
Cross-lingual Information Retrieval with BERTCode0
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-CommerceCode0
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval TaskCode0
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense RetrievalCode0
Cognition-aware Cognate DetectionCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
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