mlsanityData to 14 Oct 2026

Cross-lingual Biography Enrichment via Claim Extraction and Alignment

arXiv 2608.23390 ↗First posted 24 Aug 2026cs.CL cs.AIcited by 0

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Abstract (arXiv)

English Wikipedia is often treated as the default encyclopedic source, yet non-English Wikipedia editions can contain richer locally grounded information for long-tail figures. We study cross-lingual biography enrichment: enriching an existing English biography with facts supported by a non-English biography about the same person. Focusing on women from non-English-speaking contexts, we introduce textscCLAW-4L, a benchmark consisting of 300 Wikipedia biography pairs linking an English biography with its French, Chinese or Azerbaijani counterpart, along with claim annotations and a fine-grained claim-pair relation corpus. We propose a claim-based enrichment framework that extracts English claims from both biographies, aligns them to identify enrichment evidence from the non-English biography, and rewrites the English biography using the selected claims. Our results show that non-English Wikipedia biographies provide valuable evidence for improving English biography coverage, while lower-resource settings remain challenging.

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References · 18

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
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  11. 2023Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkerscited by 87
  12. 2024DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generationcited by 22
6 more
  1. 2016Women Through the Glass Ceiling: Gender Asymmetries in Wikipediacited by 17
  2. 2017Learning to generate one-sentence biographies from Wikidatacited by 13
  3. 2017Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triplescited by 13
  4. 2018Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidatacited by 7
  5. 2023XFEVER: Exploring Fact Verification across Languagescited by 4
  6. 2025REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narrativescited by 3

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