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Cross-Lingual Information Retrieval
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents
Multilingual Open QA on the MIA Shared Task
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer
QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages
Soft Prompt Decoding for Multilingual Dense Retrieval
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval
Machine Translation Impact in E-commerce Multilingual Search
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation
Multilingual Representation Distillation with Contrastive Learning
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
Vernacular Search Query Translation with Unsupervised Domain Adaptation
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
Cognition-aware Cognate Detection
Learning Cross-Lingual IR from an English Retriever
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Macro-Average: Rare Types Are Important Too
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval
Exploiting Neural Query Translation into Cross Lingual Information Retrieval
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
A Study of Neural Matching Models for Cross-lingual IR
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
Cross-lingual Information Retrieval with BERT
A Multi-Task Architecture on Relevance-based Neural Query Translation
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only
Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity
A Probabilistic Translation Method for Dictionary-based Cross-lingual Information Retrieval in Agglutinative Languages
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