mlsanityData to 7 Oct 2026

HC4: A New Suite of Test Collections for Ad Hoc CLIR

arXiv 2201.09992 ↗First posted 24 Jan 2022cs.IR cs.CLcited by 10

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Abstract (arXiv)

HC4 is a new suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in English and in the document languages, and graded relevance judgments. New test collections are needed because existing CLIR test collections built using pooling of traditional CLIR runs have systematic gaps in their relevance judgments when used to evaluate neural CLIR methods. The HC4 collections contain 60 topics and about half a million documents for each of Chinese and Persian, and 54 topics and five million documents for Russian. Active learning was used to determine which documents to annotate after being seeded using interactive search and judgment. Documents were judged on a three-grade relevance scale. This paper describes the design and construction of the new test collections and provides baseline results for demonstrating their utility for evaluating systems.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 14 of its 51 references that are in the map. First posted on arXiv 24 Jan 2022.

Builds on

14 of 51 references.

References · 14

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2 more
  1. 2019Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representationscited by 11
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 1; 2024: 1; 2025: 2; 2026: 1.

10 papers.