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# SyntaxNet TensorFlow

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DRAGNN (Dynamic Recurrent Acyclic Graphical Neural Networks) is a framework for building multi-task, dynamically connected computation graphs.
In practice, it uses SyntaxNet as its backend to perform several NLP tasks in a joint model (publicly released models include segmentation + POS tagging + syntactic parsing).

Please note that you need to get the Notebook key from the service logs to be able to access the Notebook.