There are 35 nodes that can be used as successor for a node with an output port of type Stanford NER Model.
Simple RNN layer.
Simple RNN layer.
Validates a StanfordNLP NE model created by the StanfordNLP NE Learner.
Assigns named entity tags to terms. Suitable for English, German and Spanish texts.
Assigns named entity tags to terms. Suitable for English, German and Spanish texts.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.
Merges two or more branches with arbitrary models which were initially created by an IF or CASE Switch Node.
Model (or generic port) CASE Switch to alter active branch for arbitrary port types..
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