Papers by Kaiming Xiao

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Papers by Kaiming Xiao

LREC

2024.lrec-main

CMNEE
Knowledge Discovery/Representation
Extracting structured event knowledge
intelligence analysis
event extraction
data scarcity problem
multi-turns annotation strategy
military domain poses
Information Extraction
Information Retrieval

2024

Information Extraction & Text Mining

1 papers

CMNEE:A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News (2024.lrec-main)

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Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang

Information Extraction & Text Mining

Challenge:	Current research focuses on the general news or financial domains, with relatively few studies for military domain.
Approach:	They propose to annotate Chinese military news events from documents using a schema for the military domain.
Outcome:	The proposed dataset is large-scale, document-level open-source for the military domain . it contains 17,000 documents and 29,223 events, which are all manually annotated .

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