token-label-error-benchmarks

Benchmarking methods for label error detection in token classification tasks (by cleanlab)

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Posts with mentions or reviews of token-label-error-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-12.
  • New paper on Automatically Detecting Label Errors in Entity Recognition Data
    1 project | /r/datasets | 27 Oct 2022
    Benchmarking code: https://github.com/cleanlab/token-label-error-benchmarks
    4 projects | /r/LanguageTechnology | 12 Oct 2022
    Blogpost: https://cleanlab.ai/blog/entity-recognition/ Paper: https://arxiv.org/abs/2210.03920 Tutorial: https://docs.cleanlab.ai/stable/tutorials/token_classification.html Benchmarking code: https://github.com/cleanlab/token-label-error-benchmarks Source code: https://github.com/cleanlab/cleanlab Example entity recognition model: https://github.com/cleanlab/examples/blob/master/entity_recognition/entity_recognition_training.ipynb

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2
3
10.0
over 1 year ago

cleanlab/token-label-error-benchmarks is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.

The primary programming language of token-label-error-benchmarks is Jupyter Notebook.


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