Java: Data Science Made Easy

Using OpenNLP to extract relationships

There are several techniques and APIs that can be used to extract this type of information. In this section we will use OpenNLP to demonstrate one way of extracting the structure of a sentence. The demonstration is centered around the ParserTool class, which uses a previously trained model. The parsing process will return the probabilities that the sentence's elements extracted are correct. As will many NLP tasks, there are often multiple answers possible.

We start with a try-with-resource block to open an input stream for the model. The en-parser-chunking.bin file contains a model that uses parses text into its POS. In this case, it is trained for English:

 try (InputStream modelInputStream = new FileInputStream( ...