I'm using the Stanford NLP just fine. I made a train file with all my classes. and it identifies the test lines just fine. BUT what if I have an Other line (that is not of any of the Classes I've trained it). Can I ask the algorithm to return null etc. when the line is not recognized with any of the Classes? If not, what/How do you recommend that I should create an "Other" Class with "other" lines.. but that could be infinite. Thanks, Aryeh.
"Other" Class in Stanford NLP Classifier for lines that are not related to ANY of the Trained Classes
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If I understand your question correctly, yes, you should create an "Other" /
Oclass to capture all "null" labels. This is the standard in e.g. NER, where the majority of the tokens in the corpus receive anOlabel (indicating no named entity label).