FindVehicle
The first NER dataset in the field of traffic, which is to extract the characteristics and attributes of the vehicle on the road.
- Both flat and overlapped named entities annotation.
- Both coarse-grained and fine-grained named entities.
- It contains 8 kinds of coarse-grained entities and 12 kinds of fine-grained entities. (It includes 65 vehicle brands and 4793 vehicle models all over the world.)
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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FindVehicle
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BiLSTM-CRF
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Papers
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