https://github.com/codait/identifying-incorrect-labels-in-conll-2003

Research into identifying and correcting incorrect labels in the CoNLL-2003 corpus.
https://github.com/codait/identifying-incorrect-labels-in-conll-2003

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Research into identifying and correcting incorrect labels in the CoNLL-2003 corpus.

• Host: GitHub
• URL: https://github.com/codait/identifying-incorrect-labels-in-conll-2003
• Owner: CODAIT
• License: apache-2.0
• Created: 2020-09-28T21:53:30.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-11T17:25:00.000Z (over 3 years ago)
• Last Synced: 2023-12-14T19:01:45.146Z (11 months ago)
• Language: Jupyter Notebook
• Size: 11.2 MB
• Stars: 12
• Watchers: 10
• Forks: 2
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Identifying-Incorrect-Labels-In-CoNLL-2003

Research into identifying and correcting incorrect labels in the CoNLL-2003 corpus.

To download the CoNLL-2003 corpus and apply label corrections to produce a corrected version of

the corpus, run the commands below. The CoNLL-2003 corpus is licensed for research use only. Be

sure to adhere to the terms of the license when using this data set!

```bash

pip3 install -r requirements.txt

python3 scripts/download_and_correct_corpus.py

```

This will download the CoNLL-2003 corpus to `original_corpus/`, apply corrections and save the

corrected corpus in `corrected_corpus/`.

NOTE: [Text Extensions for Pandas](https://github.com/CODAIT/text-extensions-for-pandas) must be 

installed to run the script. It provides utilities to download and work with the CoNLL-2003

corpus and assist with NLP analysis on Pandas.