Cross-lingual Biography Enrichment via Claim Extraction and Alignment

Abstract: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 \textsc{CLAW-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.

Computation and Language (cs.CL); Artificial Intelligence (cs.AI)

arXiv:2608.23390 [cs.CL]

(or arXiv:2608.23390v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2608.23390 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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