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CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
April 19, 2024, 4:47 a.m. | Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang
cs.CL updates on arXiv.org arxiv.org
Abstract: Extracting structured event knowledge, including event triggers and corresponding arguments, from military texts is fundamental to many applications, such as intelligence analysis and decision assistance. However, event extraction in the military field faces the data scarcity problem, which impedes the research of event extraction models in this domain. To alleviate this problem, we propose CMNEE, a large-scale, document-level open-source Chinese Military News Event Extraction dataset. It contains 17,000 documents and 29,223 events, which are all …
arxiv chinese cs.cl dataset document event extraction military scale type
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