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...