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routineNLP & Language ModelsClaim Extraction and Alignment2608.23390

Cross-lingual Biography Enrichment via Claim Extraction and Alignment

Yifei Song, Ziyang Chen, Emil Sayilov, Claire Gardent

cs.CL cs.AI

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.

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Classified with taxonomy v2 on Wed, 2 Sept 2026.

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