asahi417/tner
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
This tool helps data scientists and NLP practitioners automatically identify and categorize specific types of information, like names of people, organizations, or locations, within unstructured text. You input raw text (sentences or documents), and it outputs the text with recognized entities labeled. It's ideal for anyone working with large volumes of text data who needs to extract key pieces of information systematically.
396 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to train or use a high-performance Named Entity Recognition (NER) model to find and label specific types of entities in text across various domains or languages.
Not ideal if you primarily need a simple, off-the-shelf NER solution without any custom training or evaluation capabilities.
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396
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43
Language
Python
License
MIT
Category
Last pushed
May 11, 2023
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