Nealcly/templateNER
Source code for template-based NER
This helps data scientists and NLP researchers automatically extract specific pieces of information from text. You provide raw text, and it identifies and labels predefined entities like names, locations, or dates based on a template. This is useful for anyone working with natural language processing tasks who needs to structure unstructured text data.
213 stars. No commits in the last 6 months.
Use this if you need to extract specific types of entities from text, and you can define those entities using templates.
Not ideal if you need a general-purpose named entity recognition solution without specific templates, or if your data is not text-based.
Stars
213
Forks
38
Language
Python
License
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Category
Last pushed
Dec 22, 2021
Commits (30d)
0
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