iesl/dilated-cnn-ner
Dilated CNNs for NER in TensorFlow
This project helps machine learning engineers build and train fast, accurate Named Entity Recognition (NER) models. It takes raw text data and pre-trained word embeddings as input, and outputs a trained model capable of identifying and classifying entities like names, locations, or organizations within text. This is designed for ML practitioners who need to deploy high-performance NER solutions.
245 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher looking to implement state-of-the-art Named Entity Recognition models with a focus on speed and accuracy using TensorFlow.
Not ideal if you are a non-technical user seeking a ready-to-use NER tool, or if you prefer a different deep learning framework or programming language.
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Python
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Last pushed
Mar 09, 2019
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