EE
zhang17173/Event-Extraction
基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
605 135 +0/wk
GitHub
cnn-classification deep-learning event-extraction judgment nlp word2vec
Trend
0
Star & Fork Trend (17 data points)
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Forks
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zhang17173/Event-Extraction has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Event-Extraction | embedJs | CvT | gps |
|---|---|---|---|---|
| Stars | 605 | 605 | 605 | 604 |
| Forks | 135 | 75 | 128 | 246 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | MIT | NOASSERTION |
Capability Radar vs embedJs
Event-Extraction
embedJs
Maintenance Activity 85
Last code push 33 days ago.
Community Engagement 100
Fork-to-star ratio: 22.3%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.