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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 21–30 of 68 papers

TitleStatusHype
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
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval—0
Textual Representations for Crosslingual Information Retrieval—0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
Macro-Average: Rare Types Are Important TooCode0
Domain Transfer based Data Augmentation for Neural Query Translation—0
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