I'm new to the subject of NLP and requested to perform -named entity recognition- (NER) using Mallet. I have a text, and I give feature vector for each word in it. I would like to train a model which later on I can test on fresh text file. My question is how do I create such model, what is the input for the model. I could use some code examples :) Thanks !
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Fei Xia at UW wrote a pretty good MALLET guide.
You can find an example of programmatic (Java) interaction with MALLET at the bottom of this page.
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The MALLET quick start on sequence tagging, right on the MALLET home page, describes exactly how to do this if you already have the feature vectors.

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