dayyass/QaNER
Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
This tool helps machine learning practitioners efficiently identify and extract specific types of entities, such as names of people, organizations, or locations, from text. By providing text and a question about the entity type you're looking for, it outputs the identified entities. It's designed for data scientists and NLP engineers who need to perform Named Entity Recognition with limited labeled data.
No commits in the last 6 months. Available on PyPI.
Use this if you need to extract specific categories of information from text and have only a small amount of labeled data for training.
Not ideal if you do not have any labeled data or are not comfortable with machine learning model training and inference workflows.
Stars
65
Forks
6
Language
Python
License
MIT
Category
Last pushed
Oct 15, 2022
Commits (30d)
0
Dependencies
5
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