MantisAI / nervaluate
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
Why this job: matched by what the repo talks about: evaluation, bas, token, metric
What it does
The evaluation metrics output by nervaluate go beyond a simple token/tag based schema, and consider different scenarios based on whether all the tokens that belong to a named entity were classified or not, and also whether the correct entity type was assigned.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 225
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 71% closed
- 11 still open
- Pull requests
- 65 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- natural-language-processing
- machine-learning
- named-entity-recognition
- sequence-models
- evaluation-metrics
Project record
- JobEvals and observability
- StatusListed
- Commits408
- Forks28
- Watching3
- Stars in 28 days0
- CreatedFeb 22, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026