Finding People and Things - Natural Language Processing with Java - page 148

TokenNameFinderModel entityModel =
new TokenNameFinderModel(modelStream);
NameFinderME nameFinder = new NameFinderME(entityModel);
We can now use the tokenize method to tokenize the text and the find method to
identify the person in the text. The find method will use the tokenized String array as
input and return an array of Span objects, as shown:
String tokens[] = tokenizer.tokenize(sentence);
Span nameSpans[] = nameFinder.find(tokens);
We discussed the Span class in Chapter 3 , Finding Sentences . As you may remember,
this class holds positional information about the entities found. The actual string entities
are still in the tokens array:
The following for statement displays the person found in the sentence. Its positional in-
formation and the person are displayed on separate lines:
for (int i = 0; i < nameSpans.length; i++) {
System.out.println("Span: " + nameSpans[i].toString());
System.out.println("Entity: "
+ tokens[nameSpans[i].getStart()]);
}
The output is as follows:
Span: [7..9) person
Entity: Fred
We will often work with multiple sentences. To demonstrate this, we will use the previ-
ously defined sentences string array. The previous for statement is replaced with the
following sequence. The tokenize method is invoked against each sentence and then
the entity information is displayed as earlier:
for (String sentence : sentences) {
String tokens[] = tokenizer.tokenize(sentence);
Span nameSpans[] = nameFinder.find(tokens);
for (int i = 0; i < nameSpans.length; i++) {
System.out.println("Span: " +
nameSpans[i].toString());