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        <title>Cross-lingual Biography Enrichment via Claim Extraction and Alignment</title>
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            <title>Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing</title>
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    <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 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.</abstract>
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%0 Conference Proceedings
%T Cross-lingual Biography Enrichment via Claim Extraction and Alignment
%A Song, Yifei
%A Chen, Ziyang
%A Sayilov, Emil
%A Gardent, Claire
%Y Lee, Hung-Yi
%Y Dev, Sunipa
%Y Li, Jessy
%Y Elliott, Desmond
%S Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-459-0
%F song-etal-2026-cross
%X 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 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.
%U https://aclanthology.org/2026.emnlp-main.441/
%P 10145-10195

Markdown (Informal)

[Cross-lingual Biography Enrichment via Claim Extraction and Alignment](https://aclanthology.org/2026.emnlp-main.441/) (Song et al., EMNLP 2026)

• Cross-lingual Biography Enrichment via Claim Extraction and Alignment (Song et al., EMNLP 2026)

ACL

• Yifei Song, Ziyang Chen, Emil Sayilov, and Claire Gardent. 2026. Cross-lingual Biography Enrichment via Claim Extraction and Alignment. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, pages 10145–10195, Budapest, Hungary. Association for Computational Linguistics.