Automated Author Profile

Sun, Jiao

国防科技大学大数据与决策实验室

Current S-Index

0.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

69.2%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

A dataset of domain events based on open-source military news (Version: V1)

The text dataset of the military field is the basis for event extraction in military field, and high-quality data set can effectively promote the study of event extraction in this field,However, the event extraction data set commonly used in the real world (such as ACE2005, etc.) is oriented to the general field, and the text corpus resources on military events are scarce. Therefore, we collect a large amount of military news content from public military news websites; On the basis of text content analysis, we firstly establish an event model of military news that includes event types, entity types and entity relationship types. Secondly, the text data is manually labeled according to the event model, which is iteratively verified and corrected simultaneously. Finally, a dataset of 13,000 high-quality military news events with a full variety of labels was obtained. We make this military news event dataset publicly available in this paper.

Authors

  • Hongbin Huang ;
  • Sun, Jiao ;
  • Wei, Hui ;
  • Kaiming Xiao ;
  • Wang, Mao ;
  • Li, Xuan
1 Citation0 Mentions69% FAIR0.9 Dataset Index
10.57760/sciencedb.j00001.004862022