Connects directly to the Python Bridge, to send tokens without SEMANTIC_TAGs texts or sections of the interpretation graph to be process by ML algorithms in Python
Model version registered in the python wrapper to query
name
Select Version
required
true
Parameter
summary
Model method to call for the model
name
Service Model Method
required
true
Settings
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Normalize Tags (optional) - Tags (flagged as SEMANTIC_TAG) are normalized. Whenever a tag has field (metadata) named "display" it value is used to normalize the tag, if the tag does not have "display" value then the name of tag is used, e.g. {costumer} = costumer.
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Include Context (optional) - Includes up to two fields in the metadata of the new tag, the values are "before" and "after". The "before" value includes previous blocks (or lines) from the current text being process, using the "Boundary Flags" from the general settings to delimit the blocks, existing in the current graph, up to 2 blocks if possible. The "after" field include up to two blocks after the processed text.
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Skip Vertex Flags (optional) - List of flags used to skip blocks (or lines) that should not be process by the stage. The flagged vertex marks the start of the block and the end is set by the "Boundary Flags" value in the settings.