Training a model

We will use OpenNLP to demonstrate how a model is trained. The training file used must:

• Contain marks to demarcate the entities
• Have one sentence per line

We will use the following model file, named en-ner-person.train:

<START:person> Joe <END> was the last person to see <START:person> Fred <END>.  
He saw him in Boston at McKenzie's pub at 3:00 where he paid $2.45 for an ale.  
<START:person> Joe <END> wanted to go to Vermont for the day to visit a cousin who works at IBM, but <START:person> Sally <END> and he had to look for <START:person> Fred <END>. 

Several methods in this example are capable of throwing exceptions. These statements will be placed in a try-with-resource block, as shown here, where the model's output stream is created:

try (OutputStream modelOutputStream = new BufferedOutputStream( 
        new FileOutputStream(new File("modelFile")));) { 
    ... 
} catch (IOException ex) { 
    // Handle exception...