doccano/spacy-partial-tagger
A simple library for training named entity recognition model from partially annotated data
This is a library for machine learning engineers and NLP developers to train named entity recognition (NER) models using partially labeled text data. It takes in a dataset where not all entities are annotated, often created using dictionary-based rules, and outputs a trained NER model that can identify entities in new text. This tool is for those who need to build accurate NER systems efficiently without fully hand-labeling every single entity.
No commits in the last 6 months. Available on PyPI.
Use this if you need to train a named entity recognition model from text data where only some entities are labeled, typically using a rule-based system or an existing dictionary.
Not ideal if you have a fully hand-annotated dataset for named entity recognition or if you are looking for a pre-trained, off-the-shelf NER model.
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24
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 12, 2023
Commits (30d)
0
Dependencies
7
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