11 | This nodes calculates some quality measures like precision, recall and f1-measures and counts the amount of 12 | true positives, false negatives and false positives to validate a Stanford NLP NE model. 13 | Internally the node tags the incoming test document set with a dictionary tagger which is based on the dictionary 14 | which was used for tagging the training set in the learner node. 15 | After tagging the documents, the input model tags the documents again and the node 16 | calculates the differences between the tags created by the dictionary tagger and the tags created by the 17 | input model. 18 |
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