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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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.
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.