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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

Showing 1120 of 68 papers

TitleStatusHype
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual RetrievalCode0
Machine Translation Impact in E-commerce Multilingual Search0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation0
Multilingual Representation Distillation with Contrastive Learning0
MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval DatasetCode0
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Evaluating Machine Translation in Cross-lingual E-Commerce Search0
Vernacular Search Query Translation with Unsupervised Domain Adaptation0
HindiWSD: A package for word sense disambiguation in Hinglish & Hindi0
Learning Cross-Lingual IR from an English Retriever0
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