webanno | Persian NER project -
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kandi X-RAY | webanno Summary
Persian NER project
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QUESTION
I want to train the NER-Model by spaCy on my own corpus, which was annotated via WebAnno. Unfortunately, the notation of one NE category in spaCy does not match with the respective notation in WebAnno: In WebAnno, the label is "OTH" whereas spaCy labels it "MISC" (semantically, it's the same). Would this affect the training process or the test accuracy in a negative way? Is it necessary to train an additional NE type "OTH" in this case? Thank you for your help!
spaCy version used: 2.2.5
...ANSWER
Answered 2020-Feb-11 at 20:55Yes, of course you want to keep annotations aligned. If it's a one-off operation, it might be easiest to brute-force the problem by replacing the string in your data.
The more canonical option would appear to be TagMap: https://spacy.io/usage/adding-languages#tag-map. Quote:
[...] you need to define how [your tags] map down to the Universal Dependencies tag set.
Their example:
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