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    <abstract>Tang Dynasty poetry (618–907 CE) represents one of the most significant corpora in Chinese literature, yet no openly accessible, computationally-suitable resource exists with comprehensive author metadata. We present OpenQTS, a complete machine-readable edition of the Quan Tang Shi (全唐詩), containing 48,300 poems from 2,602 authors across 900 volumes. Unlike existing resources, OpenQTS provides systematic biographical metadata through algorithmic inference and authority file integration. Each poem receives a unique identifier, with proper handling of multi-part poems (15.5% of corpus) and collaborative works. All metadata includes provenance tracking, documenting whether information derives from Wikidata, biographical text inference, or historical markers.</abstract>
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%0 Conference Proceedings
%T OpenQTS: A Metadata-Rich Open Dataset for Tang Dynasty Poetry
%A Young, Robin
%Y Zhang, Yue
%Y Xu, Ruifeng
%Y Purwarianti, Ayu
%Y Rong, Tong
%Y Suzuki, Jun
%S Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2026
%8 November
%I Association for Computational Linguistics
%C Hengqin, China
%@ 979-8-89176-439-2
%F young-2026-openqts
%X Tang Dynasty poetry (618–907 CE) represents one of the most significant corpora in Chinese literature, yet no openly accessible, computationally-suitable resource exists with comprehensive author metadata. We present OpenQTS, a complete machine-readable edition of the Quan Tang Shi (全唐詩), containing 48,300 poems from 2,602 authors across 900 volumes. Unlike existing resources, OpenQTS provides systematic biographical metadata through algorithmic inference and authority file integration. Each poem receives a unique identifier, with proper handling of multi-part poems (15.5% of corpus) and collaborative works. All metadata includes provenance tracking, documenting whether information derives from Wikidata, biographical text inference, or historical markers.
%U https://aclanthology.org/2026.aacl-long.64/
%P 1364-1376

Markdown (Informal)

[OpenQTS: A Metadata-Rich Open Dataset for Tang Dynasty Poetry](https://aclanthology.org/2026.aacl-long.64/) (Young, AACL-IJCNLP 2026)

• OpenQTS: A Metadata-Rich Open Dataset for Tang Dynasty Poetry (Young, AACL-IJCNLP 2026)

ACL

• Robin Young. 2026. OpenQTS: A Metadata-Rich Open Dataset for Tang Dynasty Poetry. In Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1364–1376, Hengqin, China. Association for Computational Linguistics.