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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 1–50 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
Macro-Average: Rare Types Are Important TooCode0
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-CommerceCode0
Cognition-aware Cognate DetectionCode0
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval TaskCode0
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data OnlyCode0
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval DatasetCode0
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual RetrievalCode0
Cross-lingual Information Retrieval with BERTCode0
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense RetrievalCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories—0
Cross-Lingual Learning-to-Rank with Shared Representations—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Domain Transfer based Data Augmentation for Neural Query Translation—0
Evaluating Machine Translation in Cross-lingual E-Commerce Search—0
Evaluating Translation Quality and CLIR Performance of Query Sessions—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Findings of the 2014 Workshop on Statistical Machine Translation—0
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap—0
HindiWSD: A package for word sense disambiguation in Hinglish & Hindi—0
HunOr: A Hungarian---Russian Parallel Corpus—0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation—0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations—0
Learning Cross-Lingual IR from an English Retriever—0
Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora—0
Learning to Translate: A Query-Specific Combination Approach for Cross-Lingual Information Retrieval—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Machine Translation Impact in E-commerce Multilingual Search—0
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement—0
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval—0
MT Quality Estimation: The CMU System for WMT’13—0
Multilingual Open QA on the MIA Shared Task—0
Multilingual Representation Distillation with Contrastive Learning—0
Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain—0
QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval—0
Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings—0
SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage—0
SEARCHER: Shared Embedding Architecture for Effective Retrieval—0
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval—0
Soft Prompt Decoding for Multilingual Dense Retrieval—0
Subtitles to Segmentation: Improving Low-Resource Speech-to-TextTranslation Pipelines—0
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines—0
Textual Representations for Crosslingual Information Retrieval—0
The 2019 BBN Cross-lingual Information Retrieval System—0
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