Using NLP APIs
We will use the OpenNLP and Stanford APIs to demonstrate parsing and the extraction of relation information. LingPipe can also be used, but will not be discussed here. An example of how LingPipe is used to parse biomedical literature can be found at http://alias-i.com/lingpipe-3.9.3/demos/tutorial/medline/read-me.html.
Using OpenNLP
Parsing text is simple using the ParserTool class. Its static parseLine method accepts three arguments and returns a Parser instance. These arguments are as follows:
- A string containing the text to be parsed
- A
Parserinstance - An integer specifying how many parses are to be returned
The Parser instance holds the elements of the parse. The parses are returned in order of their probability. To create a Parser instance, we will use the ParserFactory class' create method. This method uses a ParserModel instance that we will create using the en-parser-chunking.bin file.
This process is shown here, in which an input stream for the model file is created using...
