seqeval
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| seqeval | SciKit-Learn Laboratory | |
|---|---|---|
| 1 | - | |
| 1,045 | 552 | |
| 1.4% | 0.0% | |
| 0.0 | 8.7 | |
| 3 days ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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seqeval
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Beginner questions about NER model evaluation.
. The standard way to evaluate NER (or any other sequence labelling problem) is to use the conlleval script (https://www.clips.uantwerpen.be/conll2000/chunking/output.html) or through the seqeval package in python (https://github.com/chakki-works/seqeval) . Either way, you need a list of predicted labels and a list of gold labels (see the code example in the link, it should be trivial to converse your output to the same data format).
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