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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 1–25 of 68 papers

TitleStatusHype
Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents—0
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents—0
Multilingual Open QA on the MIA Shared Task—0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer—0
QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval—0
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages—0
Soft Prompt Decoding for Multilingual Dense Retrieval—0
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense RetrievalCode0
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval—0
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual RetrievalCode0
Machine Translation Impact in E-commerce Multilingual Search—0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation—0
Multilingual Representation Distillation with Contrastive Learning—0
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 Search—0
Vernacular Search Query Translation with Unsupervised Domain Adaptation—0
HindiWSD: A package for word sense disambiguation in Hinglish & Hindi—0
Learning Cross-Lingual IR from an English Retriever—0
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement—0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Learning Cross-Lingual IR from an English RetrieverCode1
Cognition-aware Cognate DetectionCode0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
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