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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 41–50 of 68 papers

TitleStatusHype
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus—0
SEARCHER: Shared Embedding Architecture for Effective Retrieval—0
Subtitles to Segmentation: Improving Low-Resource Speech-to-TextTranslation Pipelines—0
What Set of Documents to Present to an Analyst?—0
Cross-lingual Information Retrieval with BERTCode0
Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual 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
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations—0
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