Sign inGet started
Paper · arXiv

CMNIE: An Information Extraction Benchmark for Chinese Military News

Structured extraction from Chinese military news supports intelligence analysis, decision-making, and knowledge base construction. However, existing resources provide limited support for joint informa?tion extraction in this domain, especially when events, event arguments, entities, and relations must be modeled together. We present CMNIE, an information extraction benchmark for Chinese military news. Extend?ing military-domain resources beyond document-level event annotations, CMNIE jointly annotates event triggers, event arguments, named enti?ties, and entity relations under a unified domain schema. The dataset contains 13,000 instances collected from public Chinese military news, with ...

AuthorsYan Yu, Mengna Zhu, Zhenyu Song et al.
Primary categorycs.CL
Published9 September 2026
Last updated at source9 September 2026
cs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/e3bc6f57-5009-41ca-bcb3-daf7a73ba71c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.