BR
plkmo/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
603 134 +0/wk
GitHub
albert bert natural-language-processing nlp pytorch relation-extraction relationships
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
plkmo/BERT-Relation-Extraction has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | BERT-Relation-Extraction | hof | BertWithPretrained | semchunk |
|---|---|---|---|---|
| Stars | 603 | 603 | 603 | 602 |
| Forks | 134 | 45 | 108 | 39 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Go | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | N/A | MIT |
Capability Radar vs hof
BERT-Relation-Extraction
hof
Maintenance Activity 0
Last code push 928 days ago.
Community Engagement 100
Fork-to-star ratio: 22.2%. 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 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.