ConceptNet Intent Classifier
Fine-tuned distilbert-base-multilingual-cased on the ConceptNet 4-layer enterprise voice intent taxonomy.
Accuracy
- Fast-path classifier: 83% · <5ms latency
- Neural model: 98.6% · <100ms latency
- L3 Predictive precision: 100%
The 4 Layers
- L1 Basic — "Do X" — immediate execution
- L2 Context-Aware — "Do X when Y" — conditional
- L3 Predictive — "Do X before Y" — proactive
- L4 Autonomous — "Do X always" — persistent agent
Languages
English · French · Spanish · German · Italian · Portuguese · Chinese · Arabic · Russian
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="conceptnetUk/intent-classifier")
classifier("Send the report when the contract is signed")
Links
- Sandbox: https://conceptnet.co.uk/sandbox/
- GitHub: https://github.com/wushu75/ConceptNet
- Website: https://conceptnet.co.uk
© 2026 ConceptNet Ltd · Patents pending
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