Named Entity Recognition (NER) is the process of finding mentions of specific things in text. Consider a simple name; location-named entity recognizer might find Ford Prefect and Guildford as the name and location mentions, respectively, in the following text:
Ford Prefect used to live in Guildford before he needed to move.
We will start by building rule-based NER systems and move up to machine-learning methods. Here, we'll take a look at building an NER system that can extract e-mail addresses from text.
Enter the following command into the command prompt:
java –cp lingpipe-cookbook.1.0.jar:lib/lingpipe-4.1.0.jar com.lingpipe.cookbook.chapter5.RegexNerInteraction with the program proceeds as follows:
Enter text, . to quit: >Hello,my name is Foo and my email is [email protected] or you can also contact me at [email protected]. input=Hello,my name is Foo and my email is [email protected] or you can also contact me at [email protected]. chunking...