Interactive learning with ner_crf and pre trained extractors


(Maurice Doepke) #1

During interactive training the intents found by pre-trained extractors + regex like extractors like spacy and duckling are automatically annotated as entitys. The problem is that spacy and duckling will not profit from this and it might even confuse the ner_crf extractor.

Is there a way to turn this behaviour off or am I wrong and it is in some way useful for entit extraction? Here an example, where time is extracted by duckling:

Is the NLU classification for 'I need an appointment [from next week wednesday](time:{‘from’: ‘2019-02-20T00:00:00.000+01 :00’, ‘to’: None})from next week wednesday with Intent classification…