中文突发事件语料库
A Chinese emergency corpus with 332 texts across 5 event types, annotated in XML for event and element extraction, built by Shanghai University.
Overview
What is 中文突发事件语料库?
The Chinese Emergency Corpus (CEC) is a dataset constructed by Shanghai University's Semantic Intelligence Laboratory. It includes 332 news articles on five types of emergencies (earthquake, fire, traffic accident, terrorist attack, food poisoning), annotated in XML with six tags (Event, Denoter, Time, Location, Participant, Object) for comprehensive event analysis.
What is 中文突发事件语料库 used for?
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Top Features
- XML annotation format
- 332 Chinese emergency texts
- Six event element tags
- Five event categories
- Academic research focus
How to use 中文突发事件语料库?
Download the corpus from the repository, use the XML files for natural language processing tasks such as event extraction, time recognition, or location identification in Chinese text. Refer to the provided research papers for detailed methodologies.
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Pros & Cons
Pros
- Comprehensive event annotation
- Free and open-source
- Useful for NLP research
- Well-documented with papers
Cons
- Small scale compared to ACE/TimeBank
- Limited to emergency events
- No active updates since 2019
Use Cases
- Event extraction research
- Chinese NLP model training
- Academic studies in emergency management
- Text annotation projects
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