Cross-Lingual Information Retrieval

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (68 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
  17 Dec 2024 1 repository listed
  A large amount of local and culture-specific knowledge (e.
• Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval
  6 May 2023 1 repository listed
  Effective cross-lingual dense retrieval methods that rely on multilingual pre-trained language models (PLMs) need to be trained to encompass both the relevance matching task and the cross-language alignment task.
• NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval
  28 Mar 2023 1 repository listed
  This paper reports on a study of cross-lingual information retrieval (CLIR) using the mT5-XXL reranker on the NeuCLIR track of TREC 2022.
• MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval Dataset
  1 Oct 2022 1 repository listed
  This paper addresses a deficiency in existing cross-lingual information retrieval (CLIR) datasets and provides a robust evaluation of CLIR systems’ disambiguation ability.
• CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
  5 Sep 2022 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Given the absence of cross-lingual information retrieval datasets with claim-like queries, we train the retriever with our proposed Cross-lingual Inverse Cloze Task (X-ICT), a self-supervised algorithm that creates…
• Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
  16 Dec 2021 1 repository listed
  We, then, evaluate the impact of our cognate detection mechanism on neural machine translation (NMT), as a downstream task.
• Cognition-aware Cognate Detection
  15 Dec 2021 1 repository listed
  We collect gaze behaviour data for a small sample of cognates and show that extracted cognitive features help the task of cognate detection.
• Learning Cross-Lingual IR from an English Retriever
  15 Dec 2021 1 repository listed
  We present DR.
• Macro-Average: Rare Types Are Important Too
  12 Apr 2021 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  While traditional corpus-level evaluation metrics for machine translation (MT) correlate well with fluency, they struggle to reflect adequacy.
• CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task
  1 Jul 2020 1 repository listed
  We present CLIReval, an easy-to-use toolkit for evaluating machine translation (MT) with the proxy task of cross-lingual information retrieval (CLIR).
• Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
  17 May 2020 1 repository listed
  We manually collect a new and high-quality paired dataset, where each pair contains an unordered product attribute set in the source language and an informative product description in the target language.
• Cross-lingual Information Retrieval with BERT
  24 Apr 2020 1 repository listed
  Multiple neural language models have been developed recently, e.
• Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only
  2 May 2018 1 repository listed
  We propose a fully unsupervised framework for ad-hoc cross-lingual information retrieval (CLIR) which requires no bilingual data at all.
• A Resource-Light Method for Cross-Lingual Semantic Textual Similarity
  19 Jan 2018 1 repository listed
  In contrast, we propose an unsupervised and a very resource-light approach for measuring semantic similarity between texts in different languages.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.