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This repository was archived by the owner on Jun 4, 2021. It is now read-only.
This repository was archived by the owner on Jun 4, 2021. It is now read-only.

Clean incoming types from NLP #15

@selBaez

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@selBaez

The outcome of analysing an utterance generates a triple representation, which includes types for any detected entities. These types could come from the internal parsing mechanisms and are not always useful. An extensive analysis on the input for triple representation is needed to filter out unnecessary noise.

def _fix_nlp_types(self, types):

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enhancementimproving and existing module or connecting existing partsnlpRelated to the nlp angle of the platform

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