Leftyx/NamedEntityRecognizer
NER (Named Entity Recognition) implementation using a BERT/DistilBERT-based ONNX model for Token Classification in ML.NET
This tool helps developers integrate Named Entity Recognition (NER) into their applications. It takes text as input and identifies key entities like people, organizations, and locations, classifying them accordingly. This is ideal for developers creating applications that need to automatically extract structured information from unstructured text.
No commits in the last 6 months.
Use this if you are a developer building .NET applications and need to incorporate state-of-the-art Named Entity Recognition capabilities using pre-trained ONNX models.
Not ideal if you are an end-user without programming experience looking for a ready-to-use application to process text.
Stars
23
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1
Language
C#
License
MIT
Category
Last pushed
Feb 17, 2025
Commits (30d)
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