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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 26–50 of 68 papers

TitleStatusHype
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
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines—0
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval TaskCode0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
A Study of Neural Matching Models for Cross-lingual IR—0
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-CommerceCode0
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap—0
The 2019 BBN Cross-lingual Information Retrieval System—0
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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