We will demonstrate the NER process using OpenNLP, Stanford API, and LingPipe. Each of these provide alternate techniques that can often do a good job of identifying entities in the text. The following declaration will serve as the sample text to demonstrate the APIs:
String sentences[] = {"Joe was the last person to see Fred. ",
"He saw him in Boston at McKenzie's pub at 3:00 where he "
+ " paid $2.45 for an ale. ",
"Joe wanted to go to Vermont for the day to visit a cousin who "
+ "works at IBM, but Sally and he had to look for Fred"};We will demonstrate the use of the TokenNameFinderModel class to perform NLP using the OpenNLP API. Additionally, we will demonstrate how to determine the probability that the entity identified is correct.
The general approach is to convert the text into a series of tokenized sentences, create an instance of the TokenNameFinderModel class using an appropriate model, and then use the find method to identify the entities...